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Medientyp:
E-Artikel
Titel:
Word sense disambiguation : A survey
:
A survey
Beteiligte:
Navigli, Roberto
Erschienen:
Association for Computing Machinery (ACM), 2009
Erschienen in:ACM Computing Surveys
Sprache:
Englisch
DOI:
10.1145/1459352.1459355
ISSN:
0360-0300;
1557-7341
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. We introduce the reader to the motivations for solving the ambiguity of words and provide a description of the task. We overview supervised, unsupervised, and knowledge-based approaches. The assessment of WSD systems is discussed in the context of the Senseval/Semeval campaigns, aiming at the objective evaluation of systems participating in several different disambiguation tasks. Finally, applications, open problems, and future directions are discussed.</jats:p>