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» Learning Expressive Models for Word Sense Disambiguation
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ACL
2010
13 years 3 months ago
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
Zhi Zhong, Hwee Tou Ng
ACL
1998
13 years 7 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang
COLING
2008
13 years 7 months ago
Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
Jun Hatori, Yusuke Miyao, Jun-ichi Tsujii
EMNLP
2009
13 years 3 months ago
Joint Learning of Preposition Senses and Semantic Roles of Prepositional Phrases
The sense of a preposition is related to the semantics of its dominating prepositional phrase. Knowing the sense of a preposition could help to correctly classify the semantic rol...
Daniel Dahlmeier, Hwee Tou Ng, Tanja Schultz
ACL
1998
13 years 7 months ago
Error Driven Word Sense Disambiguation
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as prod...
Luca Dini, Vittorio Di Tomaso, Frédé...