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» Learning Probabilistic Models of Word Sense Disambiguation
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COLING
1992
15 years 4 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
137
Voted
COLING
2010
14 years 10 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff
TAL
2004
Springer
15 years 8 months ago
Smoothing and Word Sense Disambiguation
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
Eneko Agirre, David Martínez
EMNLP
2008
15 years 4 months ago
Word Sense Disambiguation Using OntoNotes: An Empirical Study
The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD ex...
Zhi Zhong, Hwee Tou Ng, Yee Seng Chan