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» Word Sense Language Model for Information Retrieval
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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
13 years 11 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
CLEF
2009
Springer
13 years 5 months ago
Using Semantic Relatedness and Word Sense Disambiguation for (CL)IR
In this paper we report the experiments for the CLEF 2009 Robust-WSD task, both for the monolingual (English) and the bilingual (Spanish to English) subtasks. Our main experimenta...
Eneko Agirre, Arantxa Otegi, Hugo Zaragoza
CLIN
2003
13 years 6 months ago
Natural Language Processing in Information Retrieval
Many Natural Language Processing (NLP) techniques have been used in Information Retrieval. The results are not encouraging. Simple methods (stopwording, porter-style stemming, etc...
Thorsten Brants
IIR
2010
13 years 6 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
SIGIR
2004
ACM
13 years 10 months ago
Information retrieval using word senses: root sense tagging approach
Sang-Bum Kim, Hee-Cheol Seo, Hae-Chang Rim