Skip to main content
SpringerLink
Log in

Using and Evaluating User Directed Summaries to Improve Information Access

  • Conference paper
  • First Online:
Research and Advanced Technology for Digital Libraries (ECDL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1696))

Included in the following conference series:

Abstract

Textual information available has grown so much as to make necessary to study new techniques that assist users in information access (IA). In this paper, we propose utilizing a user directed summarization system in an IA setting for helping users to decide about document relevance. The summaries are generated using a sentence extraction method that scores the sentences performing some heuristics employed successfully in previous works (keywords, title and location). User modeling is carried out exploiting user’s query to an IA system and expanding query terms using WordNet. We present an objective and systematic evaluation method oriented to measure the summary effectiveness in two IA significant tasks: ad hoc retrieval and relevance feedback. Results obtained prove our initial hypothesis, i.e., user adapted summaries are a useful tool assisting users in an IA context.

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

Access this chapter

Log in via an institution
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. Abraços, J., Lopes, G.P.: Statistical methods for retrieving most significant paragraphs in newspaper articles. In: Proceedings of ACL/EACL Workshop on Intelligent Scalable Text Summarization, Madrid, Spain (1997) 51–57

    Google Scholar 

  2. Allan, J.: Relevance Feedback with Too Much Data. In: Proceedings of the 19th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington (1995) 337–343

    Google Scholar 

  3. Buckley, C.: Implementation of the Smart Information Retrieval System. Technical Report 85-686, Cornell University (1985)

    Google Scholar 

  4. Buenaga Rodríguez, M., Gómez Hidalgo, J. M., Díaz Agudo, B.: Using WordNet to Complement Training Information in Text Categorization. In: Proceedings of the 2nd International Conference on Recent Advances in Natural Language Processing (RANLP), Tzigov Chark, Bulgaria (1997) 150–157

    Google Scholar 

  5. Chang, Y.K., Cirillo, C., Razon, J. Evaluation of Feedback Retrieval Using Modified Freezing, Residual Collection, and Test and Control Groups. In: Salton, G. (ed.): The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Inc. (1971) 355–370

    Google Scholar 

  6. Edmundson, H.P.: Problems in automatic abstracting. Communications of the ACM 7,4 (1964) 259–263

    Article  Google Scholar 

  7. Edmundson, H.P.: New Methods in Automatic Abstracting. Journal of the ACM 16,2 (1969) 264–285

    Article  MATH  Google Scholar 

  8. Haines, D., Croft, W.B.: Relevance Feedback and Inference Networks. In: Proceedings of the 16th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Pittsburgh, Pennsylvania (1993) 2–11

    Google Scholar 

  9. Hand, T.F.: A Proposal for a Task-Based Evaluation of Text Summarization Systems. In: Proceedings of ACL/EACL Workshop on Intelligent Scalable Text Summarization, Madrid, Spain (1997) 31–38

    Google Scholar 

  10. Harman, D.K.: Relevance Feedback Revisited. In: Proceedings of the 15th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, Denmark (1992) 1–10

    Google Scholar 

  11. Harman, D.K.: The first Text REtrieval Conference (TREC-1). Information Processing and Management 29,4 (1993) 411–414

    Article  MathSciNet  Google Scholar 

  12. Ide, E.: New Experiments in Relevance Feedback. In: Salton, G. (ed.): The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Inc. (1971) 337–354

    Google Scholar 

  13. Johnson, F.C., Paice, C.D., Black, W.J., Neal, A.P.: The Application of Linguistic Processing to Automatic Abstract Generation. Journal of Document and Text Management 1,3 (1993) 215–241

    Google Scholar 

  14. Knaus, D., Mittendorf, E., Schauble, P., Sheridan, P.: Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System. In: Proceedings of the Fourth Text REtrieval Conference (TREC-4), Gaithersburg, Maryland (1995) 233–238

    Google Scholar 

  15. Kupiec, J., Pedersen, J.O., Chen, F.: A Trainable Document Summarizer. In: Proceedings of the 18th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington (1995) 68–73

    Google Scholar 

  16. Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development 2,2 (1958) 159–165

    Article  MathSciNet  Google Scholar 

  17. Mani, I., Bloedorn, E.: Multidocument Summarization by Graph Search and Matching. In: Proceedings of AAAI/IAAI, Providence, Rhode Island (1997) 622–628

    Google Scholar 

  18. Mani, I., House, D., Klein, G., Hirschman, L., Obrst, L.: The TIPSTER SUMMAC Text Summarization Evaluation. Final Report. MITRE Technical Report (MTR 98W0000138) (1998)

    Google Scholar 

  19. Maña López, M.J., Buenaga Rodríguez, M., Gómez Hidalgo, J.M.: Diseño y Evaluación de un Generador de Resúmenes de Texto con Modelado de Usuario en un Entorno de Recuperación de Información. Procesamiento de Lenguaje Natural 23 (1998) 32–39

    Google Scholar 

  20. Miike, S., Itoh, E., Ono, K., Sumita. K.: A Full-Text Retrieval System with a Dynamic Abstract Generation Function. In: Proceedings of the 17th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland (1994) 152–161

    Google Scholar 

  21. Miller, G.A. WordNet: A Lexical Database for English. Communications of the ACM 38,11 (1995) 39–41

    Article  Google Scholar 

  22. Oracle. Managing Text with Oracle8TM ConText Cartridge. An Oracle Technical White Paper (1997)

    Google Scholar 

  23. Paice, C. D.: The Automatic Generation of Literature Abstracts: An Approach Based on the Identification of Self-Indicating Phrases. In: Oddy, R.N., Robertson, S.E., van Rijbergen, C.J., Williams, P.W. (eds.): Information Retrieval Research. Butterworths, London (1981) 172–191

    Google Scholar 

  24. Paice, C.D., Jones, P.A.: The Identification of Important Concepts in Highly Structured Technical Papers. In: Proceedings of the 16th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Pittsburgh, Pennsylvania (1993) 69–78

    Google Scholar 

  25. Salton, G., Buckley, C.: Improving Retrieval Performance by Relevance Feedback. Journal of the American Society for Information Science 41,4 (1990) 288–297

    Article  Google Scholar 

  26. Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)

    MATH  Google Scholar 

  27. Teufel, S., Moens, M.: Sentence Extraction as a Classification Task. In: Proceedings of ACL/EACL Workshop on Intelligent Scalable Text Summarization, Madrid, Spain (1997) 58–65

    Google Scholar 

  28. Tombros, A., Sanderson, M.: Advantages of Query Biased Summaries in Information Retrieval. In: Proceedings of the 21st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia (1998) 2–10

    Google Scholar 

  29. Voorhees, E.M.: Query Expansion Using Lexical-Semantic Relations. In: Proceedings of the 17th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland (1994) 61–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Vigo, Campus As Lagoas s/n, 32004, Orense, Spain

    Manuel J. Maña López

  2. Departamento de Inteligencia Artificial, Universidad Europea de Madrid – CEES, 28670, Villaviciosa de Odón, Madrid, Spain

    Manuel de Buenaga Rodríguez & José María Gómez Hidalgo

Authors
  1. Manuel J. Maña López
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manuel de Buenaga Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. José María Gómez Hidalgo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Domaine de Voluceau, INRIA, BP 105, F-78153, Le Chesnay Cedex, France

    Serge Abiteboul  & Anne-Marie Vercoustre  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Maña López, M.J., de Buenaga Rodríguez, M., Gómez Hidalgo, J.M. (1999). Using and Evaluating User Directed Summaries to Improve Information Access. In: Abiteboul, S., Vercoustre, AM. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1999. Lecture Notes in Computer Science, vol 1696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48155-9_14

Download citation

  • DOI: https://doi.org/10.1007/3-540-48155-9_14

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66558-8

  • Online ISBN: 978-3-540-48155-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation