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» Taxonomy Learning Using Word Sense Induction
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ACL
2010
13 years 5 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
COLING
2000
13 years 8 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
ACL
2006
13 years 8 months ago
Robust Word Sense Translation by EM Learning of Frame Semantics
We propose a robust method of automatically constructing a bilingual word sense dictionary from readily available monolingual ontologies by using estimation-maximization, without ...
Pascale Fung, Benfeng Chen
ACL
2007
13 years 8 months ago
Domain Adaptation with Active Learning for Word Sense Disambiguation
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
Yee Seng Chan, Hwee Tou Ng
NIPS
2008
13 years 8 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell