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ECAI
2000
Springer
14 years 3 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
AAAI
2011
12 years 10 months ago
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task
Effective access to knowledge within large declarative memory stores is one challenge in the development and understanding of long-living, generally intelligent agents. We focus o...
Nate Derbinsky, John E. Laird
PAMI
2010
133views more  PAMI 2010»
13 years 9 months ago
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
— Word sense disambiguation (WSD), the task of identifying the intended meanings (senses) of words in context, has been a long-standing research objective for natural language pr...
Roberto Navigli, Mirella Lapata
EMNLP
2008
14 years 2 days ago
Word Sense Disambiguation Using OntoNotes: An Empirical Study
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...
Zhi Zhong, Hwee Tou Ng, Yee Seng Chan
EMNLP
2007
14 years 2 days ago
Improving Word Sense Disambiguation Using Topic Features
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 ...
Junfu Cai, Wee Sun Lee, Yee Whye Teh