Improving Complex Interactive Question Answering with Wikipedia Anchor Text

  • Ian MacKinnon
  • Olga Vechtomova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4956)


When the objective of an information retrieval task is to return a nugget rather than a document, query terms that exist in a document will often not be used in the most relevant information nugget in the document. In this paper, a new method of query expansion is proposed based on the Wikipedia link structure surrounding the most relevant articles selected automatically. Evaluated with the Nuggeteer automatic scoring software, an increase in the F-scores is found from the TREC Complex Interactive Question Answering task when integrating this expansion into an already high-performing baseline system.


Query Term Query Expansion Word Sense Disambiguation Baseline System Computational Linguistics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ian MacKinnon
    • 1
  • Olga Vechtomova
    • 2
  1. 1.David R. Cheriton School of Computer ScienceUniversity of WaterlooWaterlooCanada
  2. 2.Department of Management SciencesUniversity of WaterlooWaterlooCanada

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