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Evaluation of Connectionist Information Retrieval in a Legal Document Collection

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Computing with Words in Information/Intelligent Systems 2

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 34))

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Abstract

This paper describes the evaluation of a spreading activation model for information retrieval. Different configurations of this model were applied to the problem of discovering cross references for a hypertext version of a legal research textbook. The cirs (Connectionist Information Retrieval System) is described. Six different weighting schemes for links between neurons were evaluated, using human indexed cross references.

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References

  • Blair D.C. 1990 Language and Representation in Information Retrieval, Amsterdam, Elsevier.

    Google Scholar 

  • Bustos, R.A. 1995 Neural Networks in Law, Thesis, School of Computer Science and Engineering, The University of New South Wales, Sydney.

    Google Scholar 

  • Bustos, R.A. and Gedeon, T.D. 1995 ‘Learning Synonyms and Related Concepts in Document Collections, ’ in Alspector, J, Goodman, R and Brown, TX

    Google Scholar 

  • Applications of Neural Networks to Telecommunications 2,pp. 202–209, Lawrence Erlbaum.

    Google Scholar 

  • Gedeon, T.D. and Mital V.J. 1991 ‘An Adaptive learning network for information retrieval in a litigation support application’, Proc AMSE International Conference on Neural Networks, vol. 2, pp. 25–34, San Diego.

    Google Scholar 

  • McClelland, J.L. and Rumelhart, D.E. 1988 Explorations in Parallel Distributed Processing, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Rose, D.E., Belew, R.K. 1991 ‘A connectionist and symbolic hybrid for improving legal research’, International Journal of Man Machine Studies, vol. 35, pp. 1–33.

    Article  Google Scholar 

  • Salton, G. 1983 ‘On the Representation of Query Term Relations by Soft Boolean Operators,’ Proceedings of the Association for Computational Linguistics (ACL) European Chapter 2nd Conference, pp. 116–122 Geneva.

    Google Scholar 

  • Savoy, J. 1994 ‘Searching Information in Legal Hypertext Systems,’ Artificial Intelligence and Law, vol 2., pp. 205.

    Google Scholar 

  • Wong, S.K.M., Cai, Y.J. and Yao, Y.Y. 1993 ‘An Application of neural Networks in Adaptive Information Retrieval’ VOL 2, Proceedings IEEE International Conference on Neural Networks, San Francisco, CA, March 28-April 1.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Bustos, R.A., Gedeon, T.D. (1999). Evaluation of Connectionist Information Retrieval in a Legal Document Collection. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 34. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1872-7_20

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  • DOI: https://doi.org/10.1007/978-3-7908-1872-7_20

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2461-2

  • Online ISBN: 978-3-7908-1872-7

  • eBook Packages: Springer Book Archive

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