12 search results - page 1 / 3 » The Noisy Channel Model for Unsupervised Word Sense Disambig... |
COLING
2010
13 years 4 months ago
2010
ACL
2004
13 years 6 months ago
2004
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
CICLING
2008
Springer
13 years 6 months ago
2008
Springer
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
COLING
2010
12 years 11 months ago
2010
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...
EMNLP
2007
13 years 6 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...