138 search results - page 10 / 28 » Improving Word Sense Disambiguation Using Topic Features |
103
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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...
127
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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...
134
Voted
COLING
2010
14 years 9 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...
127
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JAIR
2008
15 years 2 months ago
2008
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
128
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CICLING
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. As any other classification task, Word Sense Disambiguation requires a large number of training examples. These examples, which are easily obtained for most of the tasks,...