Answering clinical questions with role identification

Authors:
Yun Niu;Graeme Hirst;Gregory McArthur;Patricia Rodriguez-Gianolli
Affiliations:
University of Toronto, Toronto, Ontario, Canada;University of Toronto, Toronto, Ontario, Canada;University of Toronto, Toronto, Ontario, Canada;University of Toronto, Toronto, Ontario, Canada
Venue:
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Year:
2003

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Abstract

We describe our work in progress on natural language analysis in medical question-answering in the context of a broader medical text-retrieval project. We analyze the limitations in the medical domain of the technologies that have been developed for general question-answering systems, and describe an alternative approach whose organizing principle is the identification of semantic roles in both question and answer texts that correspond to the fields of PICO format.