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.