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--- |
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license: mit |
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language: |
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- hu |
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pipeline_tag: text-classification |
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datasets: |
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- tum-nlp/neural-news-benchmark |
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--- |
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|
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## Human written vs. AI written news classifier |
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Trained on the Hungarian news data from: |
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https://huggingface.co/datasets/tum-nlp/neural_news |
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## Base model: |
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https://huggingface.co/google-bert/bert-base-multilingual-cased |
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## Data |
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See below for data splits: |
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 |
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## Results |
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See below for accuracy metrics: |
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 |
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## Paper |
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``` |
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@article{uyuk2024crafting, |
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title={Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian}, |
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author={{\"U}y{\"u}k, Cem and Rov{\'o}, Danica and Kolli, Shaghayegh and Varol, Rabia and Groh, Georg and Dementieva, Daryna}, |
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journal={arXiv preprint arXiv:2408.10724}, |
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year={2024} |
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} |
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``` |