Sciweavers

41 search results - page 3 / 9
» Bayesian Word Sense Induction
Sort
View
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
SIGIR
2005
ACM
14 years 29 days ago
Noun sense induction using web search results
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
COLING
2000
13 years 8 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
ACL
2006
13 years 8 months ago
An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation
This paper presents a new approach based on Equivalent Pseudowords (EPs) to tackle Word Sense Disambiguation (WSD) in Chinese language. EPs are particular artificial ambiguous wor...
Zhimao Lu, Haifeng Wang, Jianmin Yao, Ting Liu, Sh...