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Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3936))

Abstract

Structured document retrieval requires the ranking of document elements. Previous approaches either aggregate term weights or retrieval status values, or propose alternatives to idf, for example, ief (inverse element frequency). We propose and investigate in this paper a new approach: Context-specific idf, which is, in contrast to aggregation-based ranking functions, parameter-free.

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References

  1. Callan, J.P.: Passage-level evidence in document retrieval. In: Proceedings of the Seventeenth Annual International ACM SIGIR, pp. 302–310 (1994)

    Google Scholar 

  2. Callan, J.P., Lu, Z., Croft, W.B.: Searching distributed collections with inference networks. In: Proceedings of the 18th Annual International ACM SIGIR, pp. 21–29 (1995)

    Google Scholar 

  3. Church, K., Gale, W.: Inverse document frequency (idf): A measure of deviation from poisson. In: Proceedings of the Third Workshop on Very Large Corpora, pp. 121–130 (1995)

    Google Scholar 

  4. Fuhr, N., Grossjohann, K.: XIRQL: A query language for information retrieval in XML documents. In: Proceedings of the 24th Annual International ACM SIGIR. ACM, New York (2001)

    Google Scholar 

  5. Grabs, T., Schek, H.J.: Generating vector spaces on-the-fly for flexible xml retrieval. In: Proceedings of the ACM SIGIR Workshop on XML and Information Retrieval, Tampere, Finland, pp. 4–13 (2002)

    Google Scholar 

  6. Mass, Y., Mandelbrod, M.: Retrieving the most relevant xml component. In: Proceedings of the Second Workshop of INEX, Germany, pp. 53–58 (2003)

    Google Scholar 

  7. Ogilvie, P., Callan, J.: Language models and structured document retrieval (2003)

    Google Scholar 

  8. Roelleke, T., Lalmas, M., et al.: The accessibility dimension for structured document retrieval. In: Proceedings of the BCS-IRSG European ECIR (2002)

    Google Scholar 

  9. Schlieder, T., Meuss, H.: Querying and ranking xml documents. J. Am. Soc. Inf. Sci. Technol. 53(6), 489–503 (2002)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, J., Roelleke, T. (2006). Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_69

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  • DOI: https://doi.org/10.1007/11735106_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33347-0

  • Online ISBN: 978-3-540-33348-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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