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    <abstract>Many clinical information needs can be stated as why-questions. The answers to them represent important clinical reasoning and justification. Clinical notes are a rich source for such why-question answering (why-QA). However, there are few dedicated corpora, and little is known about the characteristics of clinical why-QA narratives. To address this gap, the study performed manual annotation of 277 sentences containing explicit why-QA cues and summarized their quantitative and qualitative properties. The contributions are: 1) sharing a seed corpus that can be used for various QA-related training purposes, 2) adding to our knowledge about the diversity and distribution of clinical why-QA contents.</abstract>
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%0 Conference Proceedings
%T Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues
%A Fan, Jungwei
%Y Rumshisky, Anna
%Y Roberts, Kirk
%Y Bethard, Steven
%Y Naumann, Tristan
%S Proceedings of the 2nd Clinical Natural Language Processing Workshop
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F fan-2019-annotating
%X Many clinical information needs can be stated as why-questions. The answers to them represent important clinical reasoning and justification. Clinical notes are a rich source for such why-question answering (why-QA). However, there are few dedicated corpora, and little is known about the characteristics of clinical why-QA narratives. To address this gap, the study performed manual annotation of 277 sentences containing explicit why-QA cues and summarized their quantitative and qualitative properties. The contributions are: 1) sharing a seed corpus that can be used for various QA-related training purposes, 2) adding to our knowledge about the diversity and distribution of clinical why-QA contents.
%R 10.18653/v1/W19-1913
%U https://aclanthology.org/W19-1913
%U https://doi.org/10.18653/v1/W19-1913
%P 101-106

Markdown (Informal)

[Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues](https://aclanthology.org/W19-1913) (Fan, ClinicalNLP 2019)

• Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues (Fan, ClinicalNLP 2019)

ACL

• Jungwei Fan. 2019. Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues. In Proceedings of the 2nd Clinical Natural Language Processing Workshop, pages 101–106, Minneapolis, Minnesota, USA. Association for Computational Linguistics.