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Hierarchical Language Models for XML Component Retrieval

  • Paul Ogilvie
  • Jamie Callan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3493)

Abstract

Experiments using hierarchical language models for XML component retrieval are presented in this paper. The role of context is investigated through incorporation of the parent’s model. We find that context can improve the effectiveness of finding relevant components slightly. Additionally, biasing the results toward long components through the use of component priors improves exhaustivity but harms specificity, so care must be taken to find an appropriate trade-off.

Keywords

Information Retrieval Language Model Background Model Query Term Structure Query 
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 2005

Authors and Affiliations

  • Paul Ogilvie
    • 1
  • Jamie Callan
    • 1
  1. 1.Language Technologies Institute, School of Computer ScienceCarnegie Mellon University 

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