Skip to main content

Document Retrieval in the Context of Question Answering

  • Conference paper
  • First Online:
Advances in Information Retrieval (ECIR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2633))

Included in the following conference series:

Abstract

Current question answering systems rely on document retrieval as a means of providing documents which are likely to contain an answer to a user’s question. A question answering system heavily depends on the effectiveness of a retrieval system: If a retrieval system fails to find any relevant documents for a question, further processing steps to extract an answer will inevitably fail, too. In this paper, we compare the effectiveness of some common retrieval techniques with respect to their usefulness for question answering.

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. Passage-retrieval evidence in document retrieval. In B. Croft and C. van Rijsbergen, editors, Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 302–310, 1994.

    Google Scholar 

  2. C. Clarke, G. Cormack, D. Kisman, and T. Lynam. Question answering by passage selection (MultiText experiments for TREC-9). In E. Voorhees and D. Harman, editors, Proceedings of the Ninth Text REtrieval Conference (TREC-9), pages 673–683. NIST Special Publication 500-249, 2000.

    Google Scholar 

  3. D. Hull. Stemming algorithms—a case study for detailed evaluation. Journal of the American Society for Information Science, 47(1):70–84, 1996.

    Article  Google Scholar 

  4. M. Kaszkiel and J. Zobel. Effective ranking with arbitrary passages. Journal of the American Society for Information Science and Technology, 52(4):344–364, 2001.

    Article  Google Scholar 

  5. W. Kraaij and R. Pohlmann. Viewing stemming as recall enhancement. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 40–48, 1996.

    Google Scholar 

  6. F. Llopis, A. Ferrández, and J. Vicedo. Passage selection to improve question answering. In Proceedings of the COLING 2002 Workshop on Multilingual Summarization and Question Answering, 2002.

    Google Scholar 

  7. C. Monz and M. de Rijke. The University of Amsterdam at CLEF 2001. In Working Notes for the Cross Language Evaluation Forum Workshop (CLEF 2001), pages 165–169, 2001.

    Google Scholar 

  8. M. Porter. An algorithm for suffix stripping. Program, 14(3):130–137, 1980.

    Google Scholar 

  9. Z39.50/Prise 2.0.http://www.itl.nist.gov/iaui/894.02/works/papers/zp2/zp2.html.

  10. H. Schmid. Probabilistic part-of-speech tagging using decision trees. In Proceedings of International Conference on New Methods in Language Processing, 1994.

    Google Scholar 

  11. J. Xu and B. Croft. Query expansion using local and global document analysis. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 4–11, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Monz, C. (2003). Document Retrieval in the Context of Question Answering. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_44

Download citation

  • DOI: https://doi.org/10.1007/3-540-36618-0_44

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01274-0

  • Online ISBN: 978-3-540-36618-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics