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ACL
2003
13 years 6 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
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 5 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney
EMNLP
2007
13 years 7 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Marine Carpuat, Dekai Wu
CICLING
2009
Springer
14 years 6 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
ANLP
1997
80views more  ANLP 1997»
13 years 6 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe