On the evaluation of entity profiles

  • Authors:
  • Maarten De Rijke;Krisztian Balog;Toine Bogers;Antal Van Den Bosch

  • Affiliations:
  • ISLA, University of Amsterdam, The Netherlands;ISLA, University of Amsterdam, The Netherlands;IIIA, Royal School of Library & Information Science, Denmark;ILK, Tilburg Centre for Creative Computing, Tilburg University, The Netherlands

  • Venue:
  • CLEF'10 Proceedings of the 2010 international conference on Multilingual and multimodal information access evaluation: cross-language evaluation forum
  • Year:
  • 2010

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Abstract

Entity profiling is the task of identifying and ranking descriptions of a given entity. The task may be viewed as one where the descriptions being sought are terms that need to be selected from a knowledge source (such as an ontology or thesaurus). In this case, entity profiling systems can be assessed by means of precision and recall values of the descriptive terms produced. However, recent evidence suggests thatmore sophisticated metrics are needed that go beyond mere lexical matching of system-produced descriptors against a ground truth, allowing for graded relevance and rewarding diversity in the list of descriptors returned. In this note, we motivate and propose such a metric.