data.ID: 378663a
data.Question Text: What time is the online tutorial session starting?
data.text: 11:00 am
data.Context: There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am.
data.ID: 378638a
data.Question Text: How many pre-requisite unit are there for COS30081?
data.text: two
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378639a
data.Question Text: How will the unit be delivered?
data.text: blended mode - physical and online
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378641a
data.Question Text: What are the pre-requisite units for COS30081?
data.text: COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378642a
data.Question Text: What is the total contact hours?
data.text: 48 hours
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378643a
data.Question Text: What is the unit code of Fundamentals of Natural Language Processing?
data.text: COS30081
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378644a
data.Question Text: What is the unit name of COS30081?
data.text: Fundamentals of Natural Language Processing (FNLP)
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378645a
data.Question Text: What kind of unit is COS30081?
data.text: portfolio unit
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378647a
data.Question Text: What is COS0081?
data.text: Artificial Intelligence major unit
data.Context: COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence. The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments.
data.ID: 378648a
data.Question Text: Where to access the tutorial material?
data.text: Canvas
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378649a
data.Question Text: Where to access the recordings for the sessions?
data.text: Canvas
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378650a
data.Question Text: Where to access the lecture material?
data.text: Canvas
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378652a
data.Question Text: When is the lecture session?
data.text: Tuesday of the week at 9:00 am
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378653a
data.Question Text: What time is the lecture session starting?
data.text: 9:00 am
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378655a
data.Question Text: How to access the materials of COS30081?
data.text: Canvas
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378656a
data.Question Text: How many lecture session are there  in a week?
data.text: one
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378657a
data.Question Text: Are the classes recorded?
data.text: All sessions or classes will be recorded
data.Context: There will be one lecture session on the Tuesday of the week at 9:00 am. All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
data.ID: 378659a
data.Question Text: How many tutorial sessions are there in a week?
data.text: two
data.Context: There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am.
data.ID: 378662a
data.Question Text: What time is the hybrid tutorial session starting?
data.text: 9:00 am
data.Context: There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am.
data.ID: 378664a
data.Question Text: When is the online tutorial session?
data.text: Thursday of the week at 11:00 am
data.Context: There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am.
data.ID: 378665a
data.Question Text: When is the hybrid tutorial class?
data.text: Monday of the week at 9:00 am
data.Context: There will be two tutorial sessions available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am.
data.ID: 378666a
data.Question Text: Are there any penalty for late submission?
data.text: Unless an extension has been approved, late submissions will result in a penalty
data.Context: Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded.
data.ID: 378667a
data.Question Text: What is the mark after 5 working days of late submission?
data.text: zero
data.Context: Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded.
data.ID: 378668a
data.Question Text: What is the maximum days to submit late?
data.text: 5 days
data.Context: Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded.
data.ID: 378671a
data.Question Text: How many credit tasks are there?
data.text: one
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378672a
data.Question Text: How many distinction tasks are there?
data.text: one
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378673a
data.Question Text: How many marks will be penalised for each working day of late submission?
data.text: 10%
data.Context: Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded.
data.ID: 378674a
data.Question Text: What is the penalty for late submission?
data.text: 10% of your mark for each working day the task is late
data.Context: Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded.
data.ID: 378676a
data.Question Text: How many pass tasks are there in COS30081?
data.text: 10
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378678a
data.Question Text: How to achieve credit grade?
data.text: all pass tasks and the credit task must be submitted and marked as complete
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378682a
data.Question Text: How to achieve Distinction grade?
data.text: all pass tasks, credit task and the D & HD task must be submitted
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378683a
data.Question Text: How to achieve high distinction grade?
data.text: all pass tasks, credit task and the D & HD task must be submitted
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378686a
data.Question Text: When are the pass tasks due?
data.text: two weeks after its release
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378689a
data.Question Text: When are the pass tasks released?
data.text: start of each week
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378691a
data.Question Text: When is the credit task due?
data.text: 6 May
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378692a
data.Question Text: When is the credit task released?
data.text: 8 April
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378693a
data.Question Text: When is the D & HD task due?
data.text: 3 June
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378694a
data.Question Text: When is the D & HD task released?
data.text: 9 May
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378695a
data.Question Text: What is the minimum requirement to pass the unit?
data.text: to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378696a
data.Question Text: What is the minimum mark to achieve in D & HD task to get HD grade?
data.text: 80
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378697a
data.Question Text: What is the minimum mark to achieve in D & HD task to get D grade?
data.text: 70
data.Context: There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June. The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it.
data.ID: 378698a
data.Question Text: What are the assessments for COS30081?
data.text: Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting
data.Context: The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
data.ID: 378701a
data.Question Text: What is the weighting of distinction and high distinction portfolio?
data.text: 100%
data.Context: The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
data.ID: 378702a
data.Question Text: What is the weighting of pass and credit portfolio?
data.text: 100%
data.Context: The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
data.ID: 378706a
data.Question Text: What is the schedule for Week 10 in COS30081?
data.text: Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378707a
data.Question Text: What is the schedule for Week 11 in COS30081?
data.text: Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378708a
data.Question Text: What is the schedule for Week 12 in COS30081?
data.text: Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378709a
data.Question Text: What is the schedule for Week 1 in COS30081?
data.text: Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378710a
data.Question Text: What is the schedule for Week 2 in COS30081?
data.text: Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378711a
data.Question Text: What is the schedule for Week 3 in COS30081?
data.text: Week 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378712a
data.Question Text: What is the schedule for Week 4 in COS30081?
data.text: Week 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378713a
data.Question Text: What is the schedule for Week 5 in COS30081?
data.text: Week 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378714a
data.Question Text: What is the schedule for Week 6 in COS30081?
data.text: Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378715a
data.Question Text: What is the schedule for Week 7 in COS30081?
data.text: Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378716a
data.Question Text: What is the schedule for Week 8 in COS30081?
data.text: Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378717a
data.Question Text: What is the schedule for Week 9 in COS30081?
data.text: Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378718a
data.Question Text: What is the tasks and assessments in Week 10 COS30081?
data.text: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378719a
data.Question Text: What is the tasks and assessments in Week 11 COS30081?
data.text: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378720a
data.Question Text: What is the tasks and assessments in Week 12 COS30081?
data.text: Tutorial 12: Discussion of Assignment 2
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378722a
data.Question Text: What is the tasks and assessments in Week 1 COS30081?
data.text: Tutorial 1: Getting Started with Python
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378723a
data.Question Text: What is the tasks and assessments in Week 2 COS30081?
data.text: Tutorial 2: Word Tokenization and Pass Task #1
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378724a
data.Question Text: What is the tasks and assessments in Week 3 COS30081?
data.text: Tutorial 3: TF-IDF and Pass Task #2
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378725a
data.Question Text: What is the tasks and assessments in Week 4 COS30081?
data.text: Tutorial 4: Semantic Analysis and Pass Task #3
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378727a
data.Question Text: What is the tasks and assessments in Week 5 COS30081?
data.text: Tutorial 5: Deep Learning Introduction and Pass Task #4
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378729a
data.Question Text: What is the tasks and assessments in Week 6 COS30081?
data.text: Tutorial 6: Neural Networks & CNN and Pass Task #5
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378730a
data.Question Text: What is the tasks and assessments in Week 7 COS30081?
data.text: Tutorial 7: RNN & LSTM and Pass Task #6
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378731a
data.Question Text: What is the tasks and assessments in Week 8 COS30081?
data.text: Tutorial 8: Transformer 1 and Pass Task #7
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378732a
data.Question Text: What is the tasks and assessments in Week 9 COS30081?
data.text: Tutorial 9: Transformer 2 and Pass Task #8
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378734a
data.Question Text: What is the topic for COS30081 Week 1?
data.text: Introduction to NLP & Linguistics
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378736a
data.Question Text: What is the topic for COS30081 Week 10?
data.text: Performance Evaluation & Scaling up
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378737a
data.Question Text: What is the topic for COS30081 Week 11?
data.text: Showcase of Real-World Problems
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378738a
data.Question Text: What is the topic for COS30081 Week 12?
data.text: Conclusion and Wrap Up
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378740a
data.Question Text: What is the topic for COS30081 Week 2?
data.text: Word Tokenization: Dot product, Token improvement, Vocabulary
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378741a
data.Question Text: What is the topic for COS30081 Week 3?
data.text: TF-IDF vectors: Bag of words, Vectorization, Topic modelling
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378742a
data.Question Text: What is the topic for COS30081 Week 4?
data.text: Semantic Analysis: LSA
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378743a
data.Question Text: What is the topic for COS30081 Week 5?
data.text: Introduction to Deep Learning for NLP: Neural network, Word Vectors
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378746a
data.Question Text: What is the topic for COS30081 Week 6?
data.text: CNN basics and usage for NLP
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378748a
data.Question Text: What is the topic for COS30081 Week 7?
data.text: RNN & LSTM basics
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378749a
data.Question Text: What is the topic for COS30081 Week 8?
data.text: Transformer basics 1
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378750a
data.Question Text: What is the topic for COS30081 Week 9?
data.text: Transformer basics 2
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378751a
data.Question Text: When Week 10 starts for COS3001 in semester 1, 2022?
data.text:  9 May
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378752a
data.Question Text: When Week 11 starts for COS3001 in semester 1, 2022?
data.text: 16 May
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378753a
data.Question Text: When Week 12 starts for COS3001 in semester 1, 2022?
data.text: 23 May
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378754a
data.Question Text: When Week 1 starts for COS3001 in semester 1, 2022?
data.text: 28 February
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378755a
data.Question Text: When Week 2 starts for COS3001 in semester 1, 2022?
data.text: 7 March
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378756a
data.Question Text: When Week 3 starts for COS3001 in semester 1, 2022?
data.text: 14 March
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378757a
data.Question Text: When Week 4 starts for COS3001 in semester 1, 2022?
data.text: 21 March
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378758a
data.Question Text: When Week 5 starts for COS3001 in semester 1, 2022?
data.text: 28 March
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378759a
data.Question Text: When Week 6 starts for COS3001 in semester 1, 2022?
data.text: 4 April
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378760a
data.Question Text: When Week 7 starts for COS3001 in semester 1, 2022?
data.text: 18 April
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378761a
data.Question Text: When Week 8 starts for COS3001 in semester 1, 2022?
data.text: 25 April
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378762a
data.Question Text: When Week 9 starts for COS3001 in semester 1, 2022?
data.text: 2 May
data.Context: The week by week schedule of the unit for Semester 1, 2022 can be observed below:\nWeek 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python\nWeek 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1\nWeek 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2\nWeek 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3\nWeek 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4\nWeek 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5\nWeek 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6\nWeek 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7\nWeek 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8\nWeek 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9\nWeek 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10\nWeek 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
data.ID: 378764a
data.Question Text: How long are the lectures and tutorials for COS30081 each week?
data.text: two hours each
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378766a
data.Question Text: How many unit teaching staff are there in COS30081?
data.text: one
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378769a
data.Question Text: How to contact Dr Joel?
data.text: through his email
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378771a
data.Question Text: What is Dr Joel's email?
data.text: jcmthan@swinburne.edu.my
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378772a
data.Question Text: What is the learning and teaching structure like for COS30081?
data.text: two parts which are lectures and tutorials
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378776a
data.Question Text: Who are the unit teaching staff for COS30081?
data.text: Dr Joel Than Chia Ming
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378777a
data.Question Text: Who is Dr Joel Than Chia Ming?
data.text: lecturer and tutor
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378778a
data.Question Text: Who is the lecturer for COS30081?
data.text: Dr Joel Than Chia Ming
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378780a
data.Question Text: Who is the tutor for COS30081?
data.text: Dr Joel Than Chia Ming
data.Context: There is one unit teaching staff who is Dr Joel Than Chia Ming who is also the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my. The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
data.ID: 378782a
data.Question Text: How many Swinburne Graduate Attributes will be developed in COS30081?
data.text: 3
data.Context: This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis.
data.ID: 378783a
data.Question Text: What Swinburne Graduate Attributes will be developed in students for COS30081?
data.text: communication skills, teamwork skills, and digital literacies
data.Context: This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis.
data.ID: 378784a
data.Question Text: What is the content of COS30081?
  
data.text: basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique
data.Context: This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies. The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis.
data.ID: 378788a
data.Question Text: How many unit learning outcome are there in COS30081?
data.text: 4
data.Context: The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks.
data.ID: 378790a
data.Question Text: What are the unit learning outcomes in COS30081?
data.text: explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks
data.Context: The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks.
data.ID: 378792a
data.Question Text: What is the aim of COS30081?
data.text: introduce students to the essential natural language processing (NLP) tasks and techniques
data.Context: The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique.
data.ID: 378793a
data.Question Text: What will the students learn in COS30081?
data.text: skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results
data.Context: The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique.