42 search results - page 3 / 9 » Word-Sense Disambiguation Using Decomposable Models |
FGCN
2008
IEEE
14 years 3 months ago
2008
IEEE
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...
COLING
2000
13 years 10 months ago
2000
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...
EMNLP
2007
13 years 10 months ago
2007
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...
EMNLP
2007
13 years 10 months ago
2007
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...
EMNLP
2007
13 years 10 months ago
2007
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise in...