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JUFE at INEX 2011 Snippet Retrieval Track

  • Conference paper
Focused Retrieval of Content and Structure (INEX 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7424))

Abstract

Jiangxi University of Finance and Economics (JUFE) submitted 8 runs to the Snippet Retrieval Track at INEX 2011.This report describes an XML snippet retrieval method based on Average Topic Generalization (ATG) model used by JUFE. The basic idea of the ATG is that different element in an XML document plays different role and hence should has distinguishing importance. The ATG model sets a weight automatically to each element according to its tag or path in the XML document. Then, the BM25EW model based on the ATG is proposed to retrieve and rank the relevant elements in an XML document collection. All windows in the most relevant elements are scored and those windows with higher scores are extracted as snippets. By comparing with the runs under different strategies, the performance are discussed and analyzed in detail.

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References

  1. Liu, D., Wan, C., Chen, L., Liu, X.: Automatically Weighting Tags in XML Collection. In: 19th ACM Conference on Information and Knowledge Management, pp. 1289–1292. ACM Press, New York (2010)

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  2. Robertson, S.E., Walker, S., Beaulieu, M.: Okapi at TREC–7: Automatic Ad Hoc, Filtering, VLC and Interactive Tracks. In: 7th Text Retrieval Conference, pp. 253–264. NIST Special Publication 500-242 (1999)

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  3. Trappett, M., Geva, S., Trotman, A., Scholer, F., Sanderson, M.: Overview of the INEX 2011 Snippet Retrieval Track. In: Geva, S., Kamps, J., Schenkel, R. (eds.) INEX 2011. LNCS, vol. 7424, pp. 283–294. Springer, Heidelberg (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Liu, D., Wan, C., Liao, G., Zhong, M., Liu, X. (2012). JUFE at INEX 2011 Snippet Retrieval Track. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_31

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  • DOI: https://doi.org/10.1007/978-3-642-35734-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35733-6

  • Online ISBN: 978-3-642-35734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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