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
- Editors:
- Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann
- Venue:
- ClinicalNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 101–106
- Language:
- URL:
- https://aclanthology.org/W19-1913
- DOI:
- 10.18653/v1/W19-1913
- Cite (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.
- Cite (Informal):
- Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues (Fan, ClinicalNLP 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W19-1913.pdf
- Code
- Jung-wei/ClinicalWhyQA