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Clinical Word Sense Disambiguation with Interactive Search and Classification.

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Clinical Word Sense Disambiguation with Interactive Search and Classification.

AMIA Annu Symp Proc. 2016;2016:2062-2071

Authors: Wang Y, Zheng K, Xu H, Mei Q

Abstract Resolving word ambiguity in clinical text is critical for many natural language processing applications. Effective word sense disambiguation (WSD) systems rely on training a machine learning based classifier with abundant clinical text that is accurately annotated, the creation of which can be costly and time-consuming.

Mentions: Xu H AMIA Annu Symp Proc WSD