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» Indexing Text Documents Based on Topic Identification
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CLEF
2005
Springer
15 years 5 months ago
Evaluating a Conceptual Indexing Method by Utilizing WordNet
This paper describes our participation to the English Girt Task of CLEF 2005 Campaign. A method for conceptual indexing based on WordNet is used. Both documents and queries are map...
Mustapha Baziz, Mohand Boughanem, Nathalie Aussena...
TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ICML
2009
IEEE
15 years 6 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
CLEF
2003
Springer
15 years 5 months ago
Pruning Texts with NLP and Expanding Queries with an Ontology: TagSearch
: The basic line of our action is first to use natural language processing to prune the texts and the query, and secondly to use an ontology to expand the queries. Last year The sy...
Gil Francopoulo
DGO
2007
152views Education» more  DGO 2007»
15 years 1 months ago
Identifying and classifying subjective claims
To understand the subjective documents, for example, public comments on the government’s proposed regulation, opinion identification and classification is required. Rather than ...
Namhee Kwon, Liang Zhou, Eduard H. Hovy, Stuart W....