Model description

An answer classification model for boolean questions based on XLM-RoBERTa.

The answer classifier takes as input a boolean question and a passage, and returns a label (yes, no-answer, no).

The model was initialized with xlm-roberta-large and fine-tuned on the boolean questions from TyDiQA, as well as BoolQ-X.

Intended uses & limitations

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.

Usage

You can use this model directly in the the PrimeQA framework for supporting boolean questions in reading comprehension: examples.

BibTeX entry and citation info

@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}
}

@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},
}