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» Four Methods for Supervised Word Sense Disambiguation
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NAACL
2007
15 years 3 months ago
Using Wikipedia for Automatic Word Sense Disambiguation
This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, we show that the Wi...
Rada Mihalcea
98
Voted
CORR
2000
Springer
100views Education» more  CORR 2000»
15 years 1 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...
NLP
2000
15 years 5 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
109
Voted
ACL
1997
15 years 3 months ago
Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
This paper presents a method to combine a set of unsupervised algorithms that can accurately disambiguate word senses in a large, completely untagged corpus. Although most of the ...
German Rigau, Jordi Atserias, Eneko Agirre
124
Voted
ACL
2004
15 years 3 months ago
A Kernel PCA Method for Superior Word Sense Disambiguation
We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best pu...
Dekai Wu, Weifeng Su, Marine Carpuat