Update README.md

README.md

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 ---
 license: apache-2.0
 ---
+## Model description
+
+A question type classification model based on XLM-RoBERTa.
+
+The question type classifier takes as input the question, and returns a label that distinguishes between boolean and short answer extractive questions. 
+
+The model was initialized with [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) and fine-tuned on the boolean questions from [TyDiQA](https://huggingface.co/datasets/tydiqa), as well as [BoolQ-X](https://arxiv.org/abs/2112.07772#). 
+
+## Intended uses & limitations
+
+You can use the raw model for question classification. Biases associated with the pre-existing language model, bert-base-multilingual-cased, may be present in our fine-tuned model, tydiqa-boolean-question-classifier.  
+
+## Usage
+
+You can use this model directly in the the [PrimeQA](https://github.com/primeqa/primeqa) framework for supporting boolean question in reading comprehension as in this [example](https://github.com/primeqa/primeqa/tree/main/examples/boolqa).
+
+### BibTeX entry and citation info
+
+```bibtex
+@article{Rosenthal2021DoAT,
+  title={Do Answers to Boolean Questions Need Explanations? Yes},
+  author={Sara Rosenthal and Mihaela A. Bornea and Avirup Sil and Radu Florian and Scott McCarley},
+  journal={ArXiv},
+  year={2021},
+  volume={abs/2112.07772}
+}
+```
+
+```bibtex
+@misc{https://doi.org/10.48550/arxiv.2206.08441,
+  author = {McCarley, Scott and 
+            Bornea, Mihaela and 
+            Rosenthal, Sara and 
+            Ferritto, Anthony and 
+            Sultan, Md Arafat and 
+            Sil, Avirup and 
+            Florian, Radu},
+  title = {GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions}, 
+  journal   = {CoRR},
+  publisher = {arXiv},  
+  year = {2022},
+  url = {https://arxiv.org/abs/2206.08441},
+}
+
+```