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Question Answering on English and Romanian Languages

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6241))

Abstract

2009 marked UAIC’s fourth consecutive participation at the QA@CLEF competition, with continually improving results. This paper describes UAIC’s QA systems participating in the Ro-Ro and En-En tasks. Both systems adhered to the classical QA architecture, with an emphasis on simplicity and real time answers: only shallow parsing was used for question processing, the indexes used by the retrieval module were at coarse-grained paragraph and document levels, and the answer extraction component used simple pattern-based rules and lexical similarity metrics for candidate answer ranking. The results obtained for this year’s participation were greatly improved from those of our team’s previous participations, with an accuracy of 54% on the EN-EN task and 47% on the RO-RO task.

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References

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Iftene, A., Trandabăţ, D., Moruz, A., Pistol, I., Husarciuc, M., Cristea, D. (2010). Question Answering on English and Romanian Languages. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_25

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  • DOI: https://doi.org/10.1007/978-3-642-15754-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15753-0

  • Online ISBN: 978-3-642-15754-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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