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Language modeling for effective construction of domain specific thesauri

: Chen, L.B.; Thiel, U.


Meziane, F.:
Natural language processing and information systems : 9th International Conference on Applications of Natural Languages to Information Systems, NLDB 2004, Salford, UK, June 23 - 25, 2004 ; proceedings
Berlin: Springer, 2004 (Lecture Notes in Computer Science 3136)
ISBN: 3-540-22564-1
ISSN: 0302-9743
International Conference on Applications of Natural Language to Information Systems (NLDB) <9, 2004, Salford>
Fraunhofer IPSI; 2007

In this paper we present an approach for effective construction of domain specific thesauri. We assume that the collection is partitioned into document categories. By taking advantage of these pre-defined categories, we are able to conceptualize a new topical language model to weight term topicality more accurately. With the help of information theory, interesting relationships among thesaurus elements are discovered deductively. Based on the "Layer-Seeds" clustering algorithm, topical terms from documents in a certain category will be organized according to their relationships in a tree-like hierarchical structure --- a thesaurus. Experimental results show that the thesaurus contains satisfactory structures, although it differs to some extent from a manually created thesaurus. A first evaluation of the thesaurus in a query expansion task yields evidence that an increase of recall can be achieved without loss of precision.