Using Wikipedia for Automatic Word Sense Disambiguation

Description:

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Creator(s): Mihalcea, Rada, 1974-
Creation Date: April 2007
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Date(s):
  • Creation: April 2007
Description:

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Degree:
Physical Description:

8 p.

Language(s):
Subject(s):
Keyword(s): word sense disambiguation | sense-tagged data | Wikipedia | sense classifiers
Source: Human Language Technology (HLT) - North American Chapter of the Association for Computational Linguistics (NAACL) Conference, 2007, Rochester, New York, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31000
Resource Type: Paper
Format: Text
Rights:
Access: Public