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» Enhancing text clustering by leveraging Wikipedia semantics
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PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
SYNASC
2007
IEEE
136views Algorithms» more  SYNASC 2007»
14 years 3 months ago
Wikipedia-Based Kernels for Text Categorization
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
Zsolt Minier, Zalan Bodo, Lehel Csató
ACL
2008
13 years 10 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
CIKM
2008
Springer
13 years 10 months ago
Learning to link with wikipedia
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
David N. Milne, Ian H. Witten
WIKIS
2006
ACM
14 years 2 months ago
Semantic Wikipedia
Wikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural...
Heiko Haller, Markus Krötzsch, Max Völke...