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...
—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...
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...
: 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...
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....