The impact of named entity normalization on information retrieval for question answering

  • Authors:
  • Mahboob Alam Khalid;Valentin Jijkoun;Maarten De Rijke

  • Affiliations:
  • ISLA, University of Amsterdamv;ISLA, University of Amsterdam;ISLA, University of Amsterdam

  • Venue:
  • ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
  • Year:
  • 2008

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Abstract

In the named entity normalization task, a system identifies a canonical unambiguous referent for names like Bush or Alabama. Resolving synonymy and ambiguity of such names can benefit end-to-end information access tasks. We evaluate two entity normalization methods based on Wikipedia in the context of both passage and document retrieval for question anwering. We find that even a simple normalization method leads to improvements of early precision, both for document and passage retrieval. Moreover, better normalization results in better retrieval performance.