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» Four Methods for Supervised Word Sense Disambiguation
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COLING
2002
15 years 1 months ago
Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
An unsupervised method for word sense disambiguation using a bilingual comparable corpus was developed. First, it extracts statistically significant pairs of related words from th...
Hiroyuki Kaji, Yasutsugu Morimoto
CICLING
2009
Springer
15 years 8 months ago
Semi-supervised Word Sense Disambiguation Using the Web as Corpus
Abstract. As any other classification task, Word Sense Disambiguation requires a large number of training examples. These examples, which are easily obtained for most of the tasks,...
Rafael Guzmán-Cabrera, Paolo Rosso, Manuel ...
127
Voted
EMNLP
2007
15 years 3 months 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
107
Voted
COLING
2008
15 years 3 months ago
On Robustness and Domain Adaptation using SVD for Word Sense Disambiguation
In this paper we explore robustness and domain adaptation issues for Word Sense Disambiguation (WSD) using Singular Value Decomposition (SVD) and unlabeled data. We focus on the s...
Eneko Agirre, Oier Lopez de Lacalle
ACL
1994
15 years 3 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe