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» Latent Semantic Word Sense Induction and Disambiguation
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SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
SEMWEB
2007
Springer
14 years 1 months ago
Solving Semantic Ambiguity to Improve Semantic Web based Ontology Matching
A new paradigm in Semantic Web research focuses on the development of a new generation of knowledge-based problem solvers, which can exploit the massive amounts of formally speciï¬...
Jorge Gracia, Vanessa Lopez, Mathieu d'Aquin, Mart...
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
LREC
2010
163views Education» more  LREC 2010»
13 years 8 months ago
Meaning Representation: From Continuity to Discreteness
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...
Fabienne Venant
EMNLP
2008
13 years 8 months ago
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms
Bootstrapping has a tendency, called semantic drift, to select instances unrelated to the seed instances as the iteration proceeds. We demonstrate the semantic drift of bootstrapp...
Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Ma...