PrimeQA/tydiqa-boolean-question-classifier

Model description

A question type classification model based on multilingual BERT.

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 bert-base-multilingual-cased and fine-tuned on the answerable subset of TyDiQA train questions.

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 framework for supporting boolean question in reading comprehension as in this example.

BibTeX entry and citation info

@article{DBLP:journals/corr/abs-1810-04805,
  author    = {Jacob Devlin and
               Ming{-}Wei Chang and
               Kenton Lee and
               Kristina Toutanova},
  title     = {{BERT:} Pre-training of Deep Bidirectional Transformers for Language
               Understanding},
  journal   = {CoRR},
  volume    = {abs/1810.04805},
  year      = {2018},
  url       = {http://arxiv.org/abs/1810.04805},
  archivePrefix = {arXiv},
  eprint    = {1810.04805},
  timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1810-04805.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@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},
}