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» Learning to Merge Word Senses
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ACL
1996
13 years 9 months ago
Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
Hwee Tou Ng, Hian Beng Lee
ACL
1998
13 years 9 months ago
Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which t)erforms word sense disambiguation on al...
Yorick Wilks, Mark Stevenson
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...
ACL
2003
13 years 9 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
LREC
2010
213views Education» more  LREC 2010»
13 years 9 months ago
Integrating a Large Domain Ontology of Species into WordNet
With the proliferation of applications sharing information represented in multiple ontologies, the development of automatic methods for robust and accurate ontology matching will ...
Montse Cuadros, Egoitz Laparra, German Rigau, Piek...