On the Usefulness of Extracting Syntactic Dependencies for Text Indexing | SpringerLink
Skip to main content
Springer Nature Link
Log in

On the Usefulness of Extracting Syntactic Dependencies for Text Indexing

  • Conference paper
  • First Online:
Artificial Intelligence and Cognitive Science (AICS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2464))

Included in the following conference series:

  • 579 Accesses

Abstract

In recent years, there has been a considerable amount of interest in using Natural Language Processing in Information Retrieval research, with specific implementations varyingfrom the word-level morphological analysis to syntactic parsing to conceptual-level semantic analysis. In particular, different degrees of phrase-level syntactic information have been incorporated in information retrieval systems workingon English or Germanic languages such as Dutch. In this paper we study the impact of usingsuc h information, in the form of syntactic dependency pairs, in the performance of a text retrieval system for a Romance language, Spanish.

The research reported in this article has been supported in part by Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica (Grant TIC2000- 0370-C02-01), Ministerio de Ciencia y Tecnología (Grant HP2001-0044) and Xunta de Galicia (Grant PGIDT01PXI10506PN).

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C. Aone, L. Halverson, T. Hampton, and M. Ramos-Santacruz. SRA: Description of the IE2 system used for MUC-7. In Proc. of the MUC-7, 1998.

    Google Scholar 

  2. A. Arampatzis, T. van der Weide, C. Koster, and P. van Bommel. Linguistically motivated information retrieval. In Encyclopedia of Library and Information Science. Marcel Dekker, Inc., New York and Basel, 2000.

    Google Scholar 

  3. R. Baeza-Yates and B. Ribeiro-Neto. Modern information retrieval. Addison-Wesley, Harlow, England, 1999.

    Google Scholar 

  4. C. Buckley, J. Allan, and G. Salton. Automatic routingand ad-hoc retrieval using SMART: TREC 2. In D. K. Harman, editor, Proc. of TREC-2, pages 45–56, Gaithersburg, MD, USA, 1993.

    Google Scholar 

  5. J. Carrol, T. Briscoe, and A. Sanfilippo. Parser evaluation: a survey and a new proposal. In Proc. of LREC’98, pages 447–454, Granada, Spain, 1998.

    Google Scholar 

  6. M. Dillon and A. S. Gray. FASIT: A fully automatic syntactically based indexing system. Journal of the American Society for Information Science, 34(2):99–108, 1983.

    Article  Google Scholar 

  7. J. L. Fagan. Automatic phrase indexing for document retrieval: An examination of syntactic and non-syntactic methods. In Proc. of SIGIR’87, pages 91–101, 1987.

    Google Scholar 

  8. C. G. Figuerola, R. Gómez, A. F. Zazo, and J. L. Alonso. Stemmingin Spanish: A first approach to its impact on information retrieval. In [17].

    Google Scholar 

  9. R. Grishman. The NYU system for MUC-6 or where’s the syntax? In Proc. of MUC-6. Morgan Kaufmann Publishers, 1995.

    Google Scholar 

  10. J. R. Hobbs, D. Appelt, J. Bear, D. Israel, M. Kameyama, M. Stickel, and M. Tyson. FASTUS: A cascaded finite-state transducer for extractinginformation from natural-language text. In E. Roche and Y. Schabes, editors, Finite-State Language Processing. MIT Press, Cambridge, MA, USA, 1997.

    Google Scholar 

  11. C. Jacquemin and E. Tzoukermann. NLP for term variant extraction: synergy between morphology, lexicon and syntax. In T. Strzalkowski, editor, Natural Language Information Retrieval, pages 25–74. Kluwer Academic Publishers, Dordrecht/Boston/London, 1999.

    Google Scholar 

  12. J. S. Justeson and S. M. Katz. Technical terminology: some linguistic properties and an algorithm for identification in text. Natural Language Engineering, 1:9–27, 1995.

    Article  Google Scholar 

  13. W. Kraaij and R. Pohlmann. Comparingthe effect of syntactic vs. statistical phrase indexingstrateg ies for Dutch. In C. Nicolaou and C. Stephanidis, editors, Research and Adavanced Technology for Digital Libraries, volume 1513 of LNCS, pages 605–614. Springer-Verlag, Berlin/Heidelberg/New York, 1998.

    Google Scholar 

  14. B.-K. Kwak, J.-H. Kim, G. Lee, and J. Y. Seo. Corpus-based learningof compound noun indexing. In J. Klavans and J. Gonzalo, editors, Proc. of the ACL’2000 workshop on Recent Advances in Natural Language Processing and Information Retrieval, HongKong, October 2000.

    Google Scholar 

  15. M. Mittendorfer and W. Winiwarter. Exploitingsyn tactic analysis of queries for information retrieval. Data & Knowledge Engineering, 2002.

    Google Scholar 

  16. J. Perez-Carballo and T. Strzalkowski. Natural language information retrieval: progress report. Information Processing and Management, 36(1):155–178, 2000.

    Article  Google Scholar 

  17. C. Peters, editor. Working Notes for the CLEF 2001 Workshop. Darmstadt, Germany, 2001. Available at http://www.clef-campaign.org.

  18. J. Vilares, D. Cabrero, and M. A. Alonso. Applyingpro ductive derivational morphology to term indexing of Spanish texts. In Alexander Gelbukh, editor, Computational Linguistics and Intelligent Text Processing, volume 2004 of LNCS, pages 336–348. Springer-Verlag, Berlin-Heidelberg-New York, 2001.

    Chapter  Google Scholar 

  19. J. Vilares, M. Vilares, and M. A. Alonso. Towards the development of heuristics for automatic query expansion. In H. C. Mayr, J. Lazansky, G. Quirchmayr, and P. Vogel, editors, Database and Expert Systems Applications, volume 2113 of LNCS, pages 887–896. Springer-Verlag, Berlin-Heidelberg-New York, 2001.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Computación, Universidade da Coruña, Campus de Elviña s/n, 15071, La Coruña, Spain

    Miguel A. Alonso & Jesús Vilares

  2. Escuela Superior de Ingeniería Informática, Universidade de Vigo, Campus de As Lagoas, 32004, Orense, Spain

    Jesús Vilares & Víctor M. Darriba

Authors
  1. Miguel A. Alonso
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jesús Vilares
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Víctor M. Darriba
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Systems, University of Limerick, Ireland

    Michael O’Neill , Richard F. E. Sutcliffe , Conor Ryan , Malachy Eaton  & Niall J. L. Griffith , , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alonso, M.A., Vilares, J., Darriba, V.M. (2002). On the Usefulness of Extracting Syntactic Dependencies for Text Indexing. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-45750-X_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44184-7

  • Online ISBN: 978-3-540-45750-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics