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Using T-Ret System to Improve Incident Report Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2945))

Abstract

This papers describes novel research involving the development of Textual CBR techniques and applying them to the problem of Incident Report Retrieval. Incident Report Retrieval is a relatively new research area in the domain of Accident Reporting and Analysis. We describe T-Ret, an Incident Report Retrieval system that incorporates textual CBR techniques and outline preliminary evaluation results.

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References

  1. Brüninghaus, S., Ashley, K.D.: Using machine learning to assign indices to legal cases. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266, pp. 303–314. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  2. Daniels, J.J., Rissland, E.: What you saw is what you want: Using cases to seed information retrieval. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  3. Lenz, M.: Defining knowledge layers for textual case-based reasoning. In: Cunningham, P., Smyth, B., Keane, M. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, p. 298. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Weber, R., Martins, A., Barcia, R.M.: On legal texts and cases. In: Lenz, M., Ashley, K. (eds.) Proceedings of the AAAI 1998 Workshop on Textual Case-Based Reasoning, pp. 40–50. AAAI Press, Menlo Park (1998)

    Google Scholar 

  5. Carthy, J.: InRet: An Intelligent Incident Management System. In: European Colloquium on Case-based Reasoning (ECCBR 2002), September 4-8 (2002)

    Google Scholar 

  6. Salton, G., McGill, M.J.: The SMART and SIRE Experimental Retrieval Systems. McGraw-Hill, New York (1983)

    Google Scholar 

  7. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Communications of the ACM 18(11), 613–620 (1971)

    Article  Google Scholar 

  8. Johnson, C.: Using Case based Reasoning to Support the Indexing and Retrieval of Incident Reports. In: Proceedings of the 19th European Annual Conference Human Decision Making and Manual Control, pp. 127–134 (1999)

    Google Scholar 

  9. Reason, J.: Managing the Risks of Organisational Accidents. Ashgate, Aldershot (1998)

    Google Scholar 

  10. Wilson, D.C., Bradshaw, S.: CBR Textuality. In: Proceedings of the Fourth UK Case-Based Reasoning Workshop, pp. 67–80. AI-CBR, University of Salford (1999)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Carthy, J., Wilson, D.C., Wang, R., Dunnion, J., Drummond, A. (2004). Using T-Ret System to Improve Incident Report Retrieval. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_57

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  • DOI: https://doi.org/10.1007/978-3-540-24630-5_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21006-1

  • Online ISBN: 978-3-540-24630-5

  • eBook Packages: Springer Book Archive

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