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» Improving Word Sense Disambiguation Using Topic Features
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SEMCO
2007
IEEE
14 years 1 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
ACL
2011
12 years 11 months ago
Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation
Resolving coordination ambiguity is a classic hard problem. This paper looks at coordination disambiguation in complex noun phrases (NPs). Parsers trained on the Penn Treebank are...
Shane Bergsma, David Yarowsky, Kenneth Ward Church
ACL
2010
13 years 5 months ago
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
This paper improves the use of pseudowords as an evaluation framework for selectional preferences. While pseudowords originally evaluated word sense disambiguation, they are now c...
Nathanael Chambers, Daniel Jurafsky
ACL
2010
13 years 5 months ago
Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD
Word Sense Disambiguation remains one of the most complex problems facing computational linguists to date. In this paper we present a system that combines evidence from a monoling...
Weiwei Guo, Mona Diab
COLING
2000
13 years 9 months ago
Identifying Terms by their Family and Friends
Multi-word terms are traditionally identified using statistical techniques or, more recently, using hybrid techniques combining statistics with shallow linguistic information. Al)...
Diana Maynard, Sophia Ananiadou