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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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## Model description
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An answer classification model for boolean questions based on XLM-RoBERTa.
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The answer classifier takes as input a boolean question and a passage, and returns a label (yes, no-answer, no).
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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#).
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## Intended uses & limitations
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You can use the raw model for question classification. Biases associated with the pre-existing language model, xlm-roberta-large, may be present in our fine-tuned model, tydiqa-boolean-answer-classifier.
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## Usage
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You can use this model directly in the the [PrimeQA](https://github.com/primeqa/primeqa) framework for supporting boolean questions in reading comprehension: [examples](https://github.com/primeqa/primeqa/tree/main/examples/boolqa).
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### BibTeX entry and citation info
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```bibtex
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@article{Rosenthal2021DoAT,
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title={Do Answers to Boolean Questions Need Explanations? Yes},
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author={Sara Rosenthal and Mihaela A. Bornea and Avirup Sil and Radu Florian and Scott McCarley},
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journal={ArXiv},
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year={2021},
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volume={abs/2112.07772}
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}
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```
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```bibtex
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@misc{https://doi.org/10.48550/arxiv.2206.08441,
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author = {McCarley, Scott and
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Bornea, Mihaela and
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Rosenthal, Sara and
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Ferritto, Anthony and
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Sultan, Md Arafat and
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Sil, Avirup and
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Florian, Radu},
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title = {GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions},
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journal = {CoRR},
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publisher = {arXiv},
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year = {2022},
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url = {https://arxiv.org/abs/2206.08441},
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}
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```
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