HiXEval: Highlighting XML Retrieval Evaluation

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Advances in XML Information Retrieval and Evaluation (INEX 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3977))

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Abstract

This paper describes our proposal for an evaluation metric for XML retrieval that is solely based on the highlighted text. We support our decision of ignoring the exhaustivity dimension by undertaking a critical investigation of the two INEX 2005 relevance dimensions. We present a fine grained empirical analysis of the level of assessor agreement of the five topics double-judged at INEX 2005, and show that the agreement is higher for specificity than for exhaustivity. We use the proposed metric to evaluate the INEX 2005 runs for each retrieval strategy of the CO and CAS retrieval tasks. A correlation analysis of the rank orderings obtained by the new metric and two XCG metrics shows that the orderings are strongly correlated, which demonstrates the usefulness of the proposed metric for evaluation of XML retrieval performance.

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References

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Pehcevski, J., Thom, J.A. (2006). HiXEval: Highlighting XML Retrieval Evaluation. In: Fuhr, N., Lalmas, M., Malik, S., Kazai, G. (eds) Advances in XML Information Retrieval and Evaluation. INEX 2005. Lecture Notes in Computer Science, vol 3977. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34963-1_4

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  • DOI: https://doi.org/10.1007/978-3-540-34963-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34962-4

  • Online ISBN: 978-3-540-34963-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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