Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification.
Word sense disambiguation (WSD) methods automatically assign an unambiguous concept to an ambiguous term based on context, and are important to many text-processing tasks. In this study we developed and evaluated a knowledge-based WSD method that uses semantic similarity measures derived from the Unified Medical Language System (UMLS) and evaluated the contribution of WSD to clinical text classification.
Author(s): Garla, Vijay N, Brandt, Cynthia
DOI: 10.1136/amiajnl-2012-001350