Skip to main content

IR-n: A Passage Retrieval System at CLEF-2001

  • Conference paper
  • First Online:
Evaluation of Cross-Language Information Retrieval Systems (CLEF 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2406))

Included in the following conference series:

Abstract

Previous work demonstrates that information retrieval system performance is sensibly improved when using document passages as the basic unit of information. However, the IR community has not yet arrived at consensus about the best way of defining text passages for retrieval purposes. This paper reports on experiments with the IR-n system, an information retrieval system that applies a new method for passage selection. Passages are defined as a fixed number of adjoining sentences in a document. This approach has been tested for the monolingual (Spanish) and bilingual (Spanish-English) tasks at CLEF-2001 with different success rates.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J. Callan, B. Croft, and J. Broglio. Trec and tipster experiments with inquery. Information Processing and Management, 31(3):327–343, 1994.

    Article  Google Scholar 

  2. Marcin Kaszkiel and Justin Zobel. Passage retrieval revisited. In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Text Structures, pages 178–185, 1997.

    Google Scholar 

  3. Marcin Kaszkiel, Justin Zobel, and Ron Sacks-Davis. Efficient passage ranking for document databases. ACM Transactions on Information Systems, 17(4):406–439, October 1999.

    Google Scholar 

  4. G. Miller. Wordnet: A Lexical Database for English. In Communications of the ACM 38(11), pages 39–41, 1995.

    Article  Google Scholar 

  5. G. Salton. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison Wesley, New York, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Llopis, F., Vicedo, J.L. (2002). IR-n: A Passage Retrieval System at CLEF-2001. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Evaluation of Cross-Language Information Retrieval Systems. CLEF 2001. Lecture Notes in Computer Science, vol 2406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45691-0_22

Download citation

  • DOI: https://doi.org/10.1007/3-540-45691-0_22

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44042-0

  • Online ISBN: 978-3-540-45691-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics