Difference between revisions of "Word sense disambiguation"

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'''Word Sense Disambiguation''' (WSD) is the ability of software to distinguish what sense of a word is being used in a textual context. For a basic introduction to WSD, see [http://en.wikipedia.org/wiki/Word_sense_disambiguation Wikipedia's introduction to WSD]. A more technical discussion of WSD follows below.
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'''Word Sense Disambiguation''' (WSD) is the ability of software to distinguish what sense of a word is being used in a textual context. For a basic introduction to WSD, see [http://en.wikipedia.org/wiki/Word_sense_disambiguation Wikipedia's introduction to WSD]. For an up-to-date state of the art of the field, see [http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf Navigli, (2009)].
  
 
In modern WSD systems, the senses of a word are typically taken from some specified dictionary. In earlier systems the senses were more typically generic senses selected by the originators of the system. These days [[WordNet]] is the usual dictionary in question. WSD has been investigated in computational linguistics as a specific task for well over 40 years, though the acronym is newer. The SENSEVAL conferences have attempted to put Word Sense Disambiguation on an empirically measurable basis by hosting evaluations in which a given corpus of tagged word senses are created using [[WordNet]]'s senses and participants attempt to recognize those senses after tuning their systems with a corpus of training data.
 
In modern WSD systems, the senses of a word are typically taken from some specified dictionary. In earlier systems the senses were more typically generic senses selected by the originators of the system. These days [[WordNet]] is the usual dictionary in question. WSD has been investigated in computational linguistics as a specific task for well over 40 years, though the acronym is newer. The SENSEVAL conferences have attempted to put Word Sense Disambiguation on an empirically measurable basis by hosting evaluations in which a given corpus of tagged word senses are created using [[WordNet]]'s senses and participants attempt to recognize those senses after tuning their systems with a corpus of training data.
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== References ==
 
== References ==
  
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* Roberto Navigli. [http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf ''Word Sense Disambiguation: A Survey]'', ACM Computing Surveys, 41(2), 2009, pp. 1–69.
 
* Kelly, Edward F., and Stone, Philip J. (1975), ''Computer Recognition of English Word Senses'', Amsterdam: North-Holland. ISBN 0-444-10831-9
 
* Kelly, Edward F., and Stone, Philip J. (1975), ''Computer Recognition of English Word Senses'', Amsterdam: North-Holland. ISBN 0-444-10831-9
  
 
[[Category:Word sense disambiguation|*]]
 
[[Category:Word sense disambiguation|*]]

Revision as of 14:32, 30 November 2010

Word Sense Disambiguation (WSD) is the ability of software to distinguish what sense of a word is being used in a textual context. For a basic introduction to WSD, see Wikipedia's introduction to WSD. For an up-to-date state of the art of the field, see Navigli, (2009).

In modern WSD systems, the senses of a word are typically taken from some specified dictionary. In earlier systems the senses were more typically generic senses selected by the originators of the system. These days WordNet is the usual dictionary in question. WSD has been investigated in computational linguistics as a specific task for well over 40 years, though the acronym is newer. The SENSEVAL conferences have attempted to put Word Sense Disambiguation on an empirically measurable basis by hosting evaluations in which a given corpus of tagged word senses are created using WordNet's senses and participants attempt to recognize those senses after tuning their systems with a corpus of training data.

Word Sense Disambiguation has several debates within the field as to whether the senses offered in existing dictionaries are adequate to distinguish the subtle meanings used in text contexts and how to evaluate the overall performance of a WSD system. For example, does it make sense to describe an overall percentage accuracy for a WSD system or does evaluation require specific comparison of system performance on a word by word basis.

History

Among the earliest efforts at word sense disambiguation was the work of Kelly and Stone (1975) who published a book explicitly listing their rules for disambiguation of word senses.

See also

External links

References