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» Similarity-Based Methods for Word Sense Disambiguation
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CIKM
2007
Springer
14 years 1 months ago
Wikify!: linking documents to encyclopedic knowledge
This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achi...
Rada Mihalcea, Andras Csomai
ACL
2003
13 years 8 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
COLING
1996
13 years 8 months ago
An Automatic Clustering of Articles Using Dictionary Definitions
In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
Fumiyo Fukumoto, Yoshimi Suzuki
COLING
2008
13 years 8 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
CCIA
2007
Springer
14 years 1 months ago
Semantic disambiguation of taxonomies
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
David Sánchez, Antonio Moreno