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- W2016568784 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." @default.
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- W2016568784 date "2003-01-01" @default.
- W2016568784 modified "2023-09-26" @default.
- W2016568784 title "Answering clinical questions with role identification" @default.
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- W2016568784 doi "https://doi.org/10.3115/1118958.1118968" @default.
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