UVA: language modeling techniques for web people search

Krisztian Balog, Leif Azzopardi, Maarten de Rijke

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


In this paper we describe our participation in the SemEval 2007 Web People Search task. Our main aim in participating was to adapt language modeling tools for the task, and to experiment with various document representations. Our main finding is that single pass clustering, using title, snippet and body to represent documents, is the most effective setting.
Original languageEnglish
Title of host publicationSemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Place of PublicationStroudsburg, PA, USA
Number of pages4
Publication statusPublished - 23 Jun 2007
Externally publishedYes

Publication series

NameSemEval '07
PublisherAssociation for Computational Linguistics


  • people searching
  • web searching
  • language modeling


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