Developing a test collection for biomedical word sense disambiguation

Developing a test collection for biomedical word sense disambiguation

Ambiguity, the phenomenon that a word has more than one sense, poses difficulties for many current Natural Language Processing (NLP) systems. Algorithms that assist in the resolution of these ambiguities, i.e. which make unambiguous a word, or more generally, a text string, will boost performance of...

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Veröffentlicht in:Proceedings - AMIA Symposium 2001, p.746-750
Hauptverfasser: Weeber, M, Mork, J G, Aronson, A R
Format: Artikel
Sprache:eng
Schlagworte:
Abstracting and Indexing as Topic
Natural Language Processing
Terminology as Topic
Unified Medical Language System
Vocabulary, Controlled
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Zusammenfassung:Ambiguity, the phenomenon that a word has more than one sense, poses difficulties for many current Natural Language Processing (NLP) systems. Algorithms that assist in the resolution of these ambiguities, i.e. which make unambiguous a word, or more generally, a text string, will boost performance of these systems. To test such techniques in the biomedical language domain, we have developed a Word Sense Disambiguation (WSD) test collection that comprises 5,000 unambiguous instances for 50 ambiguous UMLS Metathesaurus strings.
ISSN:1531-605X