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Domain Specific Mono- and Bilingual English to German Retrieval Experiments with a Social Science Document Corpus

  • René Hackl
  • Thomas Mandl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

This paper reports experiments in CLEF 2005’s domain-specific retrieval track carried out at the University of Hildesheim. The experiments were based on previous experiences with the GIRT document corpus and were run in parallel to the multi-lingual experiments for CLEF 2005. We optimized the parameters of the system with one corpus from 2004 and applied these settings to the domain specific task. In that manner, the robustness of our approach over different document collection was assessed.

Keywords

Information Retrieval Retrieval Experiment Information Retrieval Evaluation Thesaurus Term Domain Specific Task 
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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References

  1. 1.
    Hackl, R., Kölle, R., Mandl, T., Womser-Hacker, C.: Domain Specific Retrieval Experiments at the University of Hildesheim with the MIMOR System. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785, pp. 343–348. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  2. 2.
    Hackl, R., Mandl, T., Womser-Hacker, C.: Ad-hoc Mono- and Multilingual Retrieval Experiments at the University of Hildesheim (In this volume)Google Scholar
  3. 3.
    Harman, D., Buckley, C.: The NRRC reliable information access (RIA) workshop. In: Sanderson, M., Järvelin, K., Allan, L., Bruza, P. (eds.) SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, July 25-29, 2004, pp. 528–529. ACM, New York (2004)Google Scholar
  4. 4.
    Kluck, M.: The GIRT Data in the Evaluation of CLIR Systems – from 1997 Until 2003. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237, pp. 376–390. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  5. 5.
    Mandl, T., Womser-Hacker, C.: A Framework for long-term Learning of Topical User Preferences in Information Retrieval. New Library World 105(5/6), 184–195 (2004)CrossRefGoogle Scholar
  6. 6.
    Mandl, T., Womser-Hacker, C.: The Effect of Named Entities on Effectiveness in Cross-Language Information Retrieval Evaluation. In: Proceedings of the 2005 ACM symposium on Applied computing 2005, Santa Fé, New Mexico Session Information Access and Retrieval (IAR), March 13 - 17, 2005, pp. 1059–1064. ACM, New York (2005)Google Scholar
  7. 7.
    Scheufen, J.-H.: RECOIN: Modell offener Schnittstellen für Information Retrieval Systeme und Komponenten. In: Mandl, T., Womser-Hacker, C. (eds.) Effektive Information Retrieval Verfahren in der Praxis. Proceedings Vierter Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20. July 2005. Schriften zur Informationswissenschaft, vol. 45. UVK, Konstanz (to appear, 2006) Google Scholar
  8. 8.
    Voorhees, E.: The TREC robust retrieval track. SIGIR Forum 39(1), 11–20 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • René Hackl
    • 1
  • Thomas Mandl
    • 1
  1. 1.Information ScienceUniversity of HildesheimHildesheimGermany

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