Twenty-One at TREC-8: using Language Technology for Information Retrieval

Wessel Kraaij, Renée Pohlmann, Djoerd Hiemstra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

126 Downloads (Pure)


This paper describes the official runs of the Twenty-One group for TREC-8. The Twenty-One group participated in the Ad-hoc, CLIR, Adaptive Filtering and SDR tracks. The main focus of our experiments is the development and evaluation of retrieval methods that are motivated by natural language processing techniques. The following new techniques are introduced in this paper. In the Ad-Hoc and CLIR tasks we experimented with automatic sense disambiguation followed by query expansion or translation. We used a combination of thesaurial and corpus information for the disambiguation process. We continued research on CLIR techniques which exploit the target corpus for an implicit disambiguation, by importing the translation probabilities into the probabilistic term-weighting framework. In filtering we extended the use of language models for document ranking with a relevance feedback algorithm for query term reweighting
Original languageUndefined
Title of host publicationProceedings of the 8th Text Retrieval Conference (TREC)
EditorsE.M Voorhees, D.K. Harman
Place of PublicationGaithersburg, USA
PublisherUS National Institute for Standards and Technology
Number of pages16
Publication statusPublished - 2000
EventEighth Text REtrieval Conference, TREC-8 1999 - Gaithersburg, United States
Duration: 16 Nov 199919 Nov 1999
Conference number: 8

Publication series

NameNIST Special Publications
PublisherUS National Institute for Standards and Technology


ConferenceEighth Text REtrieval Conference, TREC-8 1999
Abbreviated titleTREC
Country/TerritoryUnited States


  • CR-H.3.3
  • METIS-119710
  • IR-66963
  • EWI-9322

Cite this