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JAIR
2008
118views more  JAIR 2008»
13 years 3 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
COLING
2008
13 years 5 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
EMNLP
2004
13 years 5 months ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
CICLING
2009
Springer
13 years 10 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 ...
ACL
2003
13 years 5 months ago
Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...
Hwee Tou Ng, Bin Wang, Yee Seng Chan