65 search results - page 4 / 13 » Selective Sampling for Example-based Word Sense Disambiguati... |
EMNLP
2007
13 years 8 months ago
2007
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
ACL
2003
13 years 8 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...
BMCBI
2006
13 years 7 months ago
2006
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
IMCSIT
2010
13 years 4 months ago
2010
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
ACL
2004
13 years 8 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 ...