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        <title>A Paraphrase Generation System for EHR Question Answering</title>
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        <namePart type="given">Sarvesh</namePart>
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            <title>Proceedings of the 18th BioNLP Workshop and Shared Task</title>
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            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
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    <abstract>This paper proposes a dataset and method for automatically generating paraphrases for clinical questions relating to patient-specific information in electronic health records (EHRs). Crowdsourcing is used to collect 10,578 unique questions across 946 semantically distinct paraphrase clusters. This corpus is then used with a deep learning-based question paraphrasing method utilizing variational autoencoder and LSTM encoder/decoder. The ultimate use of such a method is to improve the performance of automatic question answering methods for EHRs.</abstract>
    <identifier type="citekey">soni-roberts-2019-paraphrase</identifier>
    <identifier type="doi">10.18653/v1/W19-5003</identifier>
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%0 Conference Proceedings
%T A Paraphrase Generation System for EHR Question Answering
%A Soni, Sarvesh
%A Roberts, Kirk
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the 18th BioNLP Workshop and Shared Task
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F soni-roberts-2019-paraphrase
%X This paper proposes a dataset and method for automatically generating paraphrases for clinical questions relating to patient-specific information in electronic health records (EHRs). Crowdsourcing is used to collect 10,578 unique questions across 946 semantically distinct paraphrase clusters. This corpus is then used with a deep learning-based question paraphrasing method utilizing variational autoencoder and LSTM encoder/decoder. The ultimate use of such a method is to improve the performance of automatic question answering methods for EHRs.
%R 10.18653/v1/W19-5003
%U https://aclanthology.org/W19-5003
%U https://doi.org/10.18653/v1/W19-5003
%P 20-29

Markdown (Informal)

[A Paraphrase Generation System for EHR Question Answering](https://aclanthology.org/W19-5003) (Soni & Roberts, BioNLP 2019)

• A Paraphrase Generation System for EHR Question Answering (Soni & Roberts, BioNLP 2019)

ACL

• Sarvesh Soni and Kirk Roberts. 2019. A Paraphrase Generation System for EHR Question Answering. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 20–29, Florence, Italy. Association for Computational Linguistics.