Word sense disambiguation
2009; Association for Computing Machinery; Volume: 41; Issue: 2 Linguagem: Inglês
10.1145/1459352.1459355
ISSN1557-7341
Autores Tópico(s)Speech and dialogue systems
ResumoWord 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.
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