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

Authors
Publication date 2008
Host editors
  • C. Macdonald
  • I. Ounis
  • V. Plachouras
  • I. Ruthven
  • R.W. White
Book title Advances in Information Retrieval
Book subtitle 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008 : proceedings
ISBN
  • 9783540786450
ISBN (electronic)
  • 9783540786467
Series Lecture Notes in Computer Science
Event 30th European Conference on Information Retrieval (ECIR 2008), Glasgow, UK
Pages (from-to) 705-710
Publisher Berlin: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-540-78646-7_83
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