Tailoring vocabularies for NLP in sub-domains: a method to detect unused word sense

We developed a method to help tailor a comprehensive vocabulary system (e.g. the UMLS) for a sub-domain (e.g. clinical reports) in support of natural language processing (NLP). The method detects unused sense in a sub-domain by comparing the relational neighborhood of a word/term in the vocabulary w...

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Veröffentlicht in:	AMIA ... Annual Symposium proceedings 2009-11, Vol.2009, p.188-192
Hauptverfasser:	Figueroa, Rosa L, Zeng-Treitler, Qing, Goryachev, Sergey, Wiechmann, Eduardo P
Format:	Artikel
Sprache:	eng
Schlagworte:	Area Under Curve Artificial Intelligence Natural Language Processing ROC Curve Semantics Unified Medical Language System Vocabulary, Controlled
Online-Zugang:	Volltext
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