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University of Wolverhampton at CLEF 2007

  • Georgiana Puşcaşu
  • Constantin Orăsan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5152)

Abstract

This paper reports on the participation of the University of Wolverhampton in the Multiple Language Question Answering (QA@CLEF) track of the CLEF 2007 campaign. We approached the Romanian to English cross-lingual task with a Question Answering (QA) system that processes a question in the source language (i.e. Romanian), translates the identified keywords into the target language (i.e. English), and finally searches for answers in the English document collection. We submitted one run of our system that has achieved an overall accuracy of 14%, and a precision over non-NIL answers of 33.73%. Error analysis revealed that this low performance is mainly due to the lack of a reliable translation methodology from the source in the target language.

Keywords

Target Language Question Type Question Answering Source Language Question Focus 
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

  • Georgiana Puşcaşu
    • 1
  • Constantin Orăsan
    • 1
  1. 1.Research Group in Computational LinguisticsUniversity of WolverhamptonUK

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