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ACL
1994
13 years 6 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 5 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,...
EMNLP
2007
13 years 7 months ago
A Topic Model for Word Sense Disambiguation
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
EMNLP
2004
13 years 7 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
EMNLP
2007
13 years 7 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Marine Carpuat, Dekai Wu