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» Using Wikipedia for Automatic Word Sense Disambiguation
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ECAI
2000
Springer
14 years 7 days 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...
LREC
2010
202views Education» more  LREC 2010»
13 years 9 months ago
Can Syntactic and Logical Graphs help Word Sense Disambiguation?
This paper presents a word sense disambiguation (WSD) approach based on syntactic and logical representations. The objective here is to run a number of experiments to compare stan...
Amal Zouaq, Michel Gagnon, Benoît Ozell
TSD
2001
Springer
14 years 10 days ago
Knowledge Sources for Word Sense Disambiguation
Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the info...
Eneko Agirre, David Martínez
TAL
2010
Springer
13 years 6 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen
AAAI
2011
12 years 8 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