Word Sense Disambiguation: A Survey
(2009)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 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.
Categories and Subject Descriptors: I.2.7 Artificial Intelligence:
Natural Language Processing�Text
analysis; I.2.4 Artificial Intelligence: Knowledge Representation
Formalisms and Methods
General Terms: Algorithms, Experimentation, Measurement, Performance
Additional Key Words and Phrases: Word sense disambiguation, word
sense discrimination, WSD, lexical
semantics, lexical ambiguity, sense annotation, semantic annotation
ACM Reference Format:
Navigli, R. 2009.Word sense disambiguation: A survey. ACM Comput.
Surv. 41, 2, Article 10 (February 2009),
69 pages DOI = 10.1145/1459352.1459355 http://doi.acm.org/10.1145/1459352.1459355
