138 search results - page 10 / 28 » Improving Word Sense Disambiguation Using Topic Features |
71
Voted
TAL
2004
Springer
15 years 3 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...
EMNLP
2008
14 years 11 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...
84
Voted
COLING
2010
14 years 5 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...
80
Voted
JAIR
2008
14 years 10 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...
96
Voted
CICLING
2009
Springer
15 years 5 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,...