Using the Poly-encoder for a COVID-19 Question Answering SystemDownload PDF

Sep 04, 2020 (edited Nov 03, 2020)EMNLP 2020 Workshop NLP-COVID SubmissionReaders: Everyone
  • Keywords: Poly-Encoder, COVID19, Question Answering System
  • TL;DR: Poly-encoder based question and answering system on COVID19.
  • Abstract: In this unprecedented era of COVID-19, thereis a huge information need for truthful answersto questions relating to all aspects of the Coro-navirus.In this paper, we adapt the Poly-Encoder (Humeau et al., 2020) informationalretrieval from FAQs. We show that after fine-tuning the Poly-encoder we achieve higher re-call at the same level of precision. We compareseveral models on the task of answer or ques-tion selection on evaluation sets and demon-strate superior performance.We make ourcode publicly available for other researchers touse.
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