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» Introduction to the special issue on word sense disambiguati...
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BMCBI
2006
151views more  BMCBI 2006»
13 years 5 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
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...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
LREC
2008
144views Education» more  LREC 2008»
13 years 6 months ago
Geo-WordNet: Automatic Georeferencing of WordNet
WordNet has been used extensively as a resource for the Word Sense Disambiguation (WSD) task, both as a sense inventory and a repository of semantic relationships. Recently, we in...
Davide Buscaldi, Paolo Rosso
ACL
2003
13 years 6 months ago
Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study
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...
Hwee Tou Ng, Bin Wang, Yee Seng Chan
NLDB
2005
Springer
13 years 10 months ago
The Role of Word Sense Disambiguation in Automated Text Categorization
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...
José María Gómez Hidalgo, Man...