UniNE at domain-specific IR: CLEF 2008

  • Authors:
  • Claire Fautsch;Ljiljana Dolamic;Jacques Savoy

  • Affiliations:
  • Computer Science Department, University of Neuchatel, Neuchatel, Switzerland;Computer Science Department, University of Neuchatel, Neuchatel, Switzerland;Computer Science Department, University of Neuchatel, Neuchatel, Switzerland

  • Venue:
  • CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russian languages, and thus obtain retrieval effectiveness superior to that of language-independent approaches (n-gram). To do so we evaluated the GIRT-4 test-collection using the Okapi model, various IR models based on the Divergence from Randomness (DFR) paradigm, the statistical language model (LM) together with the classical tfċidf vector-processing scheme.