Skip to main content

The Cortex Automatic Summarization System at the QA@INEX Track 2010

  • Conference paper
Comparative Evaluation of Focused Retrieval (INEX 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6932))

Abstract

The Cortex system is constructed of several different sentence selection metrics and a decision module. Our experiments have shown that the Cortex decision on the metrics always scores better than each system alone. In the INEX@QA 2010 task of Long Questions, Cortex strategy system obtained very good results in the automatic evaluations FRESA.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. ANSI. American National Standard for Writing Abstracts. Technical report, American National Standards Institute, Inc., New York, NY (ANSI Z39.14.1979) (1979)

    Google Scholar 

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

    Article  MathSciNet  Google Scholar 

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

    Article  MATH  Google Scholar 

  4. Salton, G.: The SMART Retrieval System - Experiments un Automatic Document Processing, Englewood Cliffs (1971)

    Google Scholar 

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

    MATH  Google Scholar 

  6. Torres-Moreno, J.M., Velazquez-Morales, P., Meunier, J.-G.: Condensés automatiques de textes. Lexicometrica. L’analyse de données textuelles: De l’enquête aux corpus littéraires, Special (2004), www.cavi.univ-paris3.fr/lexicometrica

  7. Jacquemin, C., Zweigenbaum, P.: Traitement automatique des langues pour l’accès au contenu des documents. Le Document en Sciences du Traitement de l’information 4, 71–109 (2000)

    Google Scholar 

  8. Abracos, J., Lopes, G.P.: Statistical Methods for Retrieving Most Significant Paragraphs in Newspaper Articles. In: Mani, I., Maybury, M.T. (eds.) ACL/EACL 1997-WS, Madrid, Spain, July 11 (1997)

    Google Scholar 

  9. Teufel, S., Moens, M.: Sentence Extraction as a Classification Task. In: Mani, I., Maybury, M.T. (eds.) ACL/EACL 1997-WS, Madrid, Spain (1997)

    Google Scholar 

  10. Hovy, E., Lin, C.Y.: Automated Text Summarization in SUMMARIST. In: Mani, I., Maybury, M.T. (eds.) Advances in Automatic Text Summarization, pp. 81–94. The MIT Press, Cambridge (1999)

    Google Scholar 

  11. 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, pp. 68–73 (1995)

    Google Scholar 

  12. Tombros, A., Sanderson, M., Gray, P.: Advantages of Query Biased Summaries in Information Retrieval. In: Hovy, E., Radev, D.R. (eds.) AAAI1998-S, Stanford, California, USA, March 23-25, pp. 34–43. The AAAI Press, Menlo Park (1998)

    Google Scholar 

  13. Schlesinger, J.D., Backer, D.J., Donway, R.L.: Using Document Features and Statistical Modeling to Improve Query-Based Summarization. In: DUC 2001, New Orleans, LA (2001)

    Google Scholar 

  14. Torres-Moreno, J.M., Velazquez-Moralez, P., Meunier, J.: CORTEX, un algorithme pour la condensation automatique de textes. In: ARCo, vol. 2, p. 365 (2005)

    Google Scholar 

  15. Torres-Moreno, J.M., St-Onge, P.-L., Gagnon, M., El-Bèze, M., Bellot, P.: Automatic summarization system coupled with a question-answering system (qaas). CoRR, abs/0905.2990 (2009)

    Google Scholar 

  16. Torres-Moreno, J.M., Velazquez-Morales, P., Meunier, J.G.: Condensés de textes par des méthodes numériques. JADT 2, 723–734 (2002)

    Google Scholar 

  17. Salton, G.: Automatic text processing, 9th edn. Addison-Wesley Longman Publishing Co. Inc., Amsterdam (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Torres-Moreno, JM., Gagnon, M. (2011). The Cortex Automatic Summarization System at the QA@INEX Track 2010. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23577-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23576-4

  • Online ISBN: 978-3-642-23577-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics