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Language Modeling for Effective Construction of Domain Specific Thesauri

  • Libo Chen
  • Ulrich Thiel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3136)

Abstract

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.

Keywords

Language Model Query Expansion Term Weighting Original Query Pointwise Mutual Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Libo Chen
    • 1
  • Ulrich Thiel
    • 1
  1. 1.Fraunhofer IPSIDarmstadtGermany

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