250 search results - page 1 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
EMNLP
2007
13 years 5 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...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
COLING
2000
13 years 5 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...
ACL
2004
13 years 5 months ago
2004
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
ACL
2010
13 years 2 months ago
2010
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...