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EMNLP
2007
13 years 8 months ago
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise in...
Takaaki Tanaka, Francis Bond, Timothy Baldwin, San...
ACL
1998
13 years 8 months ago
Error Driven Word Sense Disambiguation
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as prod...
Luca Dini, Vittorio Di Tomaso, Frédé...
BMCBI
2006
151views more  BMCBI 2006»
13 years 7 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...
COLING
2008
13 years 8 months ago
Using Three Way Data for Word Sense Discrimination
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
Tim Van de Cruys
CORR
2000
Springer
100views Education» more  CORR 2000»
13 years 7 months ago
Boosting Applied to Word Sense Disambiguation
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
Gerard Escudero, Lluís Màrquez, Germ...