readme: ---
  license: apache-2.0
  ---
  
  ## 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](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, 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](https://github.com/primeqa/primeqa) framework for supporting boolean questions in reading comprehension: [examples](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},
  }
  
  ```