The Impact of Named Entity Normalization on Information Retrieval for Question Answering

  • Mahboob Alam Khalid
  • Valentin Jijkoun
  • Maarten de Rijke
Conference paper

DOI: 10.1007/978-3-540-78646-7_83

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4956)
Cite this paper as:
Khalid M.A., Jijkoun V., de Rijke M. (2008) The Impact of Named Entity Normalization on Information Retrieval for Question Answering. In: Macdonald C., Ounis I., Plachouras V., Ruthven I., White R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Mahboob Alam Khalid
    • 1
  • Valentin Jijkoun
    • 1
  • Maarten de Rijke
    • 1
  1. 1.ISLA, University of Amsterdam 

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