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» Word Sense and Subjectivity
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IJCAI
2007
13 years 8 months ago
Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri
Most word sense disambiguation (WSD) methods require large quantities of manually annotated training data and/or do not exploit fully the semantic relations of thesauri. We propos...
George Tsatsaronis, Michalis Vazirgiannis, Ion And...
FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
14 years 1 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
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 7 months ago
A chain dictionary method for Word Sense Disambiguation and applications
Abstract. A large class of unsupervised algorithms for Word Sense Disambiguation (WSD) is that of dictionary-based methods. Various algorithms have as the root Lesk's algorith...
Doina Tatar, Gabriela Serban, Andreea Diana Mihis,...
NAACL
2010
13 years 5 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
COLING
1992
13 years 8 months ago
Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora
This paper describes a program that disambignates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories. Roget's ca...
David Yarowsky