Question Answering for Dutch: Simple does it

A.H. Hoekstra, Djoerd Hiemstra, P.E. van der Vet, Theo W.C. Huibers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
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When people pose questions in natural language to search for information on the web, the role of question answering (QA) systems becomes important. In this paper the QAsystem simpleQA, capable of answering Dutch questions on which the answer is a person or a location, is described. The system's algorithm does not use a lot of complex NLP-techniques, but instead uses the magnitude of and redundancy on the World Wide Web to its advantage. The system has been evaluated on the DISEQuA corpus and performed quite well: MRR near 0.5. For further improvements it can easily be extended by adding more rewrite rules and applying more sophisticated filtering and tiling.
Original languageEnglish
Title of host publicationBNAIC’06
Subtitle of host publicationProceedings of the 18th Belgium-Netherlands Conference on Artificial Intelligence
EditorsPierre-Yves Schobbens, Wim Vanhoof, Gabriel Schwanen
PublisherNamur University Press
Number of pages8
Publication statusPublished - 2006
Event18th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2006 - Namur, Belgium
Duration: 5 Oct 20066 Oct 2006
Conference number: 18

Publication series

NameBelgian-Dutch Conference on Artificial Intelligence
ISSN (Print)1568-7805


Conference18th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2006
Abbreviated titleBNAIC
Internet address


  • IR-66748
  • METIS-237815
  • EWI-8645


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