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» Improving Semantic Role Labeling with Word Sense
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SEMCO
2007
IEEE
15 years 6 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...
COLING
2008
15 years 1 months ago
OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date...
Liang-Chih Yu, Chung-Hsien Wu, Eduard H. Hovy
COLING
2000
15 years 1 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
WAIM
2007
Springer
15 years 5 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
WWW
2008
ACM
16 years 11 days ago
Cm-pmi: improved web-based association measure with contextual label matching
WebPMI is a popular web-based association measure to evaluate the semantic similarity between two queries (i.e. words or entities) by leveraging search results returned by search ...
Xiaojun Wan