ENSM-SE and UJM at INEX 2010: Scoring with Proximity and Tag Weights

  • Michel Beigbeder
  • Mathias Géry
  • Christine Largeron
  • Howard Seck
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6932)

Abstract

This paper presents our participation in the Relevant in Context task (ad-hoc track) during the 2010 INEX competition, and a posterior analysis. Two models presented in previous editions of INEX by the authors were merged for our 2010 participation. The first one is based on the proximity of the query terms in the documents [1] and the second one is based on learnt tag weights [2]. The results demonstrate the improvement of focused information retrieval, thanks to the integration of the tag weights in the approach based on proximity.

Keywords

Query Term Context Task Posterior Analysis Triangle Function Relevant Passage 
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 2011

Authors and Affiliations

  • Michel Beigbeder
    • 1
  • Mathias Géry
    • 2
  • Christine Largeron
    • 2
  • Howard Seck
    • 3
  1. 1.École Nationale Supérieure des Mines de Saint-ÉtienneFrance
  2. 2.Université de Lyon, Saint-ÉtienneFrance
  3. 3.Université Paris-DauphineParisFrance

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