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47

NLDB
2007
Springer

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Four Methods for Supervised Word Sense Disambiguation

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Four Methods for Supervised Word Sense Disambiguation

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Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This paper describes four novel supervised disambiguation methods which adapt some familiar algorithms. They built on the Vector Space Model using an automatically generated stop list and two

Kinga Schumacher

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Ambiguous Word | Information System | Natural Language Processing | NLDB 2007 | Word Sense Disambiguation |

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Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	NLDB
Authors	Kinga Schumacher

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