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Hierarchical Language Models for XML Component Retrieval

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Advances in XML Information Retrieval (INEX 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3493))

Abstract

Experiments using hierarchical language models for XML component retrieval are presented in this paper. The role of context is investigated through incorporation of the parent’s model. We find that context can improve the effectiveness of finding relevant components slightly. Additionally, biasing the results toward long components through the use of component priors improves exhaustivity but harms specificity, so care must be taken to find an appropriate trade-off.

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References

  1. List, J., Mihajlovic, V., Ramirez, G., Hiemstra, D.: The tijah xml-ir system at inex 2003. In: INEX 2003 Workshop Proceedings, pp. 102–109 (2003)

    Google Scholar 

  2. Sigurbjörnsson, B., Kamps, J., de Rijke, M.: Processing content-and-structure queries for xml retrieval. In: Proccedings of the First Twente Data Management Workshop, pp. 31–38 (2004)

    Google Scholar 

  3. Kamps, J., de Rijke, M., Sigurbjörnsson, B.: Length normalization in xml retrieval. In: Proceedings of the Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 80–87 (2004)

    Google Scholar 

  4. Ogilvie, P., Callan, J.: Language models and structured document retrieval. In: Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX) (2003)

    Google Scholar 

  5. Ogilvie, P., Callan, J.P.: Using language models for flat text queries in xml retrieval. In: Proc. of the Second Annual Workshop of the Initiative for the Evaluation of XML retrieval (INEX), Dagstuhl, Germany (2003)

    Google Scholar 

  6. McCallum, A., Nigam, K.: Text classification by bootstrapping with keywords, em and shrinkage. In: Proceedings of the ACL 1999 Workshop for Unsupervised Learning in Natural Language Processing, pp. 52–58 (1999)

    Google Scholar 

  7. Ponte, J., Croft, W.: A language modeling approach for information retrieval. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 275–281. ACM Press, New York (1998)

    Chapter  Google Scholar 

  8. Hiemstra, D.: Using language models for information retrieval. PhD thesis, University of Twente (2001)

    Google Scholar 

  9. Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. ACM Transactions on Information Systems 2 (2004)

    Google Scholar 

  10. Song, F., Croft, W.: A general language model for information retrieval. In: Proceedings of the Eighth International Conference on Information and Knowledge Management (1999)

    Google Scholar 

  11. Westerveld, T., Kraaij, W., Hiemstra, D.: Retrieving web pages using content, links, URLs, and anchors. In: The Tenth Text REtrieval Conf (TREC-10), NIST SP 500-250, pp. 663–672 (2002)

    Google Scholar 

  12. Trotman, A., Sigurbjörnsson, B.: Narrow Extended XPath I. Technical report (2004), Available at http://inex.is.informatik.uni-duisburg.de:2004/

  13. Lemur: The Lemur Toolkit for Language Modeling and Information Retrieval, http://lemurproject.org/

  14. Krovetz, R.: Viewing morphology as an inference process. In: Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 191–202. ACM Press, New York (1993)

    Chapter  Google Scholar 

  15. Fuhr, N., Goevert, N., Kazai, G., Lalmas, M. (eds.): Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX). ERCIM (2003)

    Google Scholar 

  16. Fuhr, N., Maalik, S., Lalmas, M. (eds.): Proc. of the Second Annual Workshop of the Initiative for the Evaluation of XML retrieval (INEX), Dagstuhl, Germany (2003)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Ogilvie, P., Callan, J. (2005). Hierarchical Language Models for XML Component Retrieval. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_18

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  • DOI: https://doi.org/10.1007/11424550_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26166-7

  • Online ISBN: 978-3-540-32053-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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