HiXEval: highlighting XML retrieval evaluation

  • Authors:
  • Jovan Pehcevski;James A. Thom

  • Affiliations:
  • School of Computer Science and Information Technology, RMIT University, Melbourne, Australia;School of Computer Science and Information Technology, RMIT University, Melbourne, Australia

  • Venue:
  • INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
  • Year:
  • 2005

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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.