184 search results - page 9 / 37 » Learning Expressive Models for Word Sense Disambiguation |
137
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COLING
2010
14 years 10 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...
113
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ACL
1994
15 years 4 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...
113
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TAL
2004
Springer
15 years 8 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...
134
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EMNLP
2008
15 years 4 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...