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        <title>Using the Poly-encoder for a COVID-19 Question Answering System</title>
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        <namePart type="given">Seolhwa</namePart>
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            <title>Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020</title>
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        <name type="personal">
            <namePart type="given">Karin</namePart>
            <namePart type="family">Verspoor</namePart>
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            <namePart type="given">Kevin</namePart>
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            <namePart type="given">Mark</namePart>
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        <name type="personal">
            <namePart type="given">Rada</namePart>
            <namePart type="family">Mihalcea</namePart>
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    <abstract>To combat misinformation regarding COVID- 19 during this unprecedented pandemic, we propose a conversational agent that answers questions related to COVID-19. We adapt the Poly-encoder (Humeau et al., 2020) model for informational retrieval from FAQs. We show that after fine-tuning, the Poly-encoder can achieve a higher F1 score. We make our code publicly available for other researchers to use.</abstract>
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    <identifier type="doi">10.18653/v1/2020.nlpcovid19-2.33</identifier>
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%0 Conference Proceedings
%T Using the Poly-encoder for a COVID-19 Question Answering System
%A Lee, Seolhwa
%A Sedoc, João
%Y Verspoor, Karin
%Y Cohen, Kevin Bretonnel
%Y Conway, Michael
%Y de Bruijn, Berry
%Y Dredze, Mark
%Y Mihalcea, Rada
%Y Wallace, Byron
%S Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
%D 2020
%8 December
%I Association for Computational Linguistics
%C Online
%F lee-sedoc-2020-using
%X To combat misinformation regarding COVID- 19 during this unprecedented pandemic, we propose a conversational agent that answers questions related to COVID-19. We adapt the Poly-encoder (Humeau et al., 2020) model for informational retrieval from FAQs. We show that after fine-tuning, the Poly-encoder can achieve a higher F1 score. We make our code publicly available for other researchers to use.
%R 10.18653/v1/2020.nlpcovid19-2.33
%U https://aclanthology.org/2020.nlpcovid19-2.33
%U https://doi.org/10.18653/v1/2020.nlpcovid19-2.33

Markdown (Informal)

[Using the Poly-encoder for a COVID-19 Question Answering System](https://aclanthology.org/2020.nlpcovid19-2.33) (Lee & Sedoc, NLP-COVID19 2020)

• Using the Poly-encoder for a COVID-19 Question Answering System (Lee & Sedoc, NLP-COVID19 2020)

ACL

• Seolhwa Lee and João Sedoc. 2020. Using the Poly-encoder for a COVID-19 Question Answering System. In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, Online. Association for Computational Linguistics.