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ACL
1997
14 years 11 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
CORR
2000
Springer
100views Education» more  CORR 2000»
14 years 9 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...
72
Voted
LREC
2008
101views Education» more  LREC 2008»
14 years 11 months ago
Using the Multilingual Central Repository for Graph-Based Word Sense Disambiguation
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Disambiguation (WSD). The technique exploits the structural properties of the gra...
Eneko Agirre, Aitor Soroa
CICLING
2008
Springer
14 years 11 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
COLING
2002
14 years 9 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar