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Improving Complex Interactive Question Answering with Wikipedia Anchor Text

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

Abstract

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.

Keywords

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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References

  1. 1.
    Kelly, D., Lin, J.: Overview of the TREC 2006 ciQA task. SIGIR Forum 41(1), 107–116 (2007)CrossRefGoogle Scholar
  2. 2.
    Giles, J.: Internet encyclopaedias go head to head. Nature 438(7070), 900–901 (2005)CrossRefGoogle Scholar
  3. 3.
    Bunescu, R., Pasca, M.: Using encyclopedic knowledge for named entity disambiguation. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, Italy, April 2006, pp. 9–16 (2006)Google Scholar
  4. 4.
    Gabrilovich, E., Markovitch, S.: Computing semantic relatedness using wikipedia-based explicit semantic analysis. In: Proceedings of The Twentieth International Joint Conference for Artificial Intelligence, Hyderabad, India (2007)Google Scholar
  5. 5.
    Strube, M., Ponzetto, S.P.: Wikirelate! computing semantic relatedness using wikipedia. In: Proceedings of the Twenty-First National Conference on Artificial Intelligence, Boston, Mass, July 2006, pp. 1419–1424 (2006)Google Scholar
  6. 6.
    Mihalcea, R.: Using Wikipedia for automatic word sense disambiguation. In: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, Rochester, New York, Association for Computational Linguistics, April 2007, pp. 196–203 (2007)Google Scholar
  7. 7.
    Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33, 159–174 (1977)MATHCrossRefMathSciNetGoogle Scholar
  8. 8.
    Vechtomova, O., Karamuftuoglu, M.: Identifying relationships between entities in text for complex interactive question answering task. In: TREC (2006)Google Scholar
  9. 9.
    Marton, G., Radul, A.: Nuggeteer: Automatic nugget-based evaluation using descriptions and judgements. In: Proceedings of NAACL/HLT (2006)Google Scholar

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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