Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues

Jungwei Fan


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.
Anthology ID:
W19-1913
Volume:
Proceedings of the 2nd Clinical Natural Language Processing Workshop
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Venues:
ClinicalNLP | NAACL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
101–106
Language:
URL:
https://www.aclweb.org/anthology/W19-1913
DOI:
10.18653/v1/W19-1913
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-1913.pdf