Word sense disambiguation

dc.contributor.author	Navigli Roberto
dc.date.accessioned	2018-02-05T14:34:04Z
dc.date.available	2018-02-05T14:34:04Z
dc.date.issued	2009
dc.identifier.uri	http://hdl.handle.net/123456789/7130
dc.description.abstract	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 Sen-seval/Semeval campaigns, aiming at the objective evaluation of systems participating in several different disambiguation tasks. Finally, applications, open problems, and future directions are discussed.
dc.format	application/pdf
dc.language.iso	English
dc.publisher	Association for Computing Machinery (ACM)
dc.title	Word sense disambiguation
dc.type	journal-article
dc.identifer.doi	10.1145/1459352.1459355
dc.source.volume	41
dc.source.issue	2
dc.source.journal	ACM Comput. Surv