Advertisement

Dublin City University at CLEF 2006: Robust Cross Language Track

  • Adenike M. Lam-Adesina
  • Gareth J. F. Jones
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4730)

Abstract

The main focus of the DCU group’s participation in the CLEF 2006 Robust Track track was to explore a new method of re-ranking a retrieved document set based on the initial query with a pseudo relevance feedback (PRF) query expansion method. The aim of re-ranking using the initial query is to force the retrieved assumed relevant set to mimic the initial query more closely while not removing the benefits of PRF. Our results show that although our PRF is consistently effective for this task, the application of the current version of our new re-ranking method has little effect on the ranked output.

Keywords

Query Expansion Robust Track Initial Query Pseudo Relevance Feedback Information Retrieval Method 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Porter, M.F.: An algorithm for suffix stripping. Program 14, 10–137 (1980)Google Scholar
  2. 2.
    Robertson, S.E, Walker, S., Jones, S., Hancock-Beaulieu, M.M., Gatford, M.: Okapi at TREC-3. In: Harman, D.K. (ed.) Proceedings of the Third Text REtrieval Conference (TREC-3), NIST, pp. 109–126 (1995)Google Scholar
  3. 3.
    Lam-Adesina, A.M., Jones, G.J.F.: Applying Summarization Techniques for Term Selection in Relevance Feedback. In: Proceedings of the ACM SIGIR 2001, New Orleans, pp. 1–9. ACM, New York (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Adenike M. Lam-Adesina
    • 1
  • Gareth J. F. Jones
    • 1
  1. 1.School of Computing, Dublin City University, Dublin 9Ireland

Personalised recommendations