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» Using WordNet for Text Categorization
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LREC
2010
246views Education» more  LREC 2010»
15 years 3 months ago
Q-WordNet: Extracting Polarity from WordNet Senses
This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide...
Rodrigo Agerri, Ana García-Serrano
88
Voted
ACL
2007
15 years 3 months ago
Making Lexical Ontologies Functional and Context-Sensitive
Human categorization is neither a binary nor a context-free process. Rather, some concepts are better examples of a category than others, while the criteria for category membershi...
Tony Veale, Yanfen Hao
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 5 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
IRCDL
2007
15 years 3 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso
BTW
2007
Springer
122views Database» more  BTW 2007»
15 years 8 months ago
YAWN: A Semantically Annotated Wikipedia XML Corpus
: The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce alg...
Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci