184 search results - page 9 / 37 » Learning Expressive Models for Word Sense Disambiguation |
COLING
2010
13 years 2 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...
ACL
1994
13 years 9 months ago
1994
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...
TAL
2004
Springer
14 years 1 months ago
2004
Springer
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...
COLING
2010
13 years 7 months ago
2010
EMNLP
2008
13 years 9 months ago
2008
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...