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» Four Methods for Supervised Word Sense Disambiguation
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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
15 years 8 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
LREC
2008
144views Education» more  LREC 2008»
15 years 3 months ago
Geo-WordNet: Automatic Georeferencing of WordNet
WordNet has been used extensively as a resource for the Word Sense Disambiguation (WSD) task, both as a sense inventory and a repository of semantic relationships. Recently, we in...
Davide Buscaldi, Paolo Rosso
121
Voted
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
15 years 8 months ago
Word Sense Discovery for Web Information Retrieval
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
Tomasz Nykiel, Henryk Rybinski
EMNLP
2010
14 years 11 months ago
A New Approach to Lexical Disambiguation of Arabic Text
We describe a model for the lexical analysis of Arabic text, using the lists of alternatives supplied by a broad-coverage morphological analyzer, SAMA, which include stable lemma ...
Rushin Shah, Paramveer S. Dhillon, Mark Liberman, ...
EMNLP
2007
15 years 3 months ago
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise in...
Takaaki Tanaka, Francis Bond, Timothy Baldwin, San...