GikiP at GeoCLEF 2008: Joining GIR and QA Forces for Querying Wikipedia

  • Diana Santos
  • Nuno Cardoso
  • Paula Carvalho
  • Iustin Dornescu
  • Sven Hartrumpf
  • Johannes Leveling
  • Yvonne Skalban
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


This paper reports on the GikiP pilot that took place in 2008 in GeoCLEF. This pilot task requires a combination of methods from geographical information retrieval and question answering to answer queries to the Wikipedia. We start by the task description, providing details on topic choice and evaluation measures. Then we offer a brief motivation from several perspectives, and we present results in detail. A comparison of participants’ approaches is then presented, and the paper concludes with improvements for the next edition.


Question Answering Question Answering System Topic Choice Semantic Role Label List Question 
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 2009

Authors and Affiliations

  • Diana Santos
    • 1
  • Nuno Cardoso
    • 1
    • 2
  • Paula Carvalho
    • 2
  • Iustin Dornescu
    • 3
  • Sven Hartrumpf
    • 4
  • Johannes Leveling
    • 5
  • Yvonne Skalban
    • 3
  1. 1.Linguateca, SINTEF ICTNorway
  2. 2.University of Lisbon, DI, LasiGE, XLDB, LinguatecaPortugal
  3. 3.Research Group in Computational Linguistics (CLG) at the University of WolverhamptonUK
  4. 4.Intelligent Information and Communication Systems (IICS)University of Hagen (FernUniversität in Hagen)Germany
  5. 5.Centre for Next Generation Localisation (CNGL)Dublin City UniversityIreland

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