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» An End-to-End Supervised Target-Word Sense Disambiguation Sy...
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NAACL
2010
14 years 7 months ago
Extracting Glosses to Disambiguate Word Senses
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...
Weisi Duan, Alexander Yates
57
Voted
ACL
2010
14 years 7 months ago
Knowledge-Rich Word Sense Disambiguation Rivaling Supervised Systems
Simone Paolo Ponzetto, Roberto Navigli
ACL
2004
14 years 11 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
CORR
2000
Springer
132views Education» more  CORR 2000»
14 years 9 months ago
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross{corpus evaluation, between ve alternative algorithms for supervised Word Sense Disambiguation (WSD), namely ...
Gerard Escudero, Lluís Màrquez, Germ...
80
Voted
EMNLP
2004
14 years 11 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