Answering clinical questions with role identification
Yun Niu, Graeme Hirst, G. McArthur, Patricia Rodríguez-Gianolli · 2003
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.