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The LIMSI Multilingual, Multitask QAst System

  • Conference paper
Evaluating Systems for Multilingual and Multimodal Information Access (CLEF 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5706))

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Abstract

In this paper, we present the LIMSI question-answering system which participated to the Question Answering on speech transcripts 2008 evaluation. This systems is based on a complete and multi-level analysis of both queries and documents. It uses an automatically generated research descriptor. A score based on those descriptors is used to select documents and snippets. The extraction and scoring of candidate answers is based on proximity measurements within the research descriptor elements and a number of secondary factors. We participated to all the subtasks and submitted 18 runs (for 16 sub-tasks). The evaluation results for manual transcripts range from 31% to 45% for accuracy depending on the task and from 16 to 41% for automatic transcripts.

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References

  1. Déchelotte, D., Schwenk, H., Adda, G., Gauvain, J.-L.: Improved machine translation of speech-to-text outputs, Antwerp. Belgium (2007)

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  2. Rosset, S., Galibert, O., Adda, G., Bilinski, E.: The limsi qast systems: comparison between human and automatic rules generation for question-answering on speech transcriptions. In: IEEE ASRU (December 2007)

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Author information

Authors and Affiliations

  1. Spoken Language Processing Group, LIMSI-CNRS, France

    Sophie Rosset, Olivier Galibert, Guillaume Bernard, Eric Bilinski & Gilles Adda

Authors
  1. Sophie Rosset
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  2. Olivier Galibert
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  3. Guillaume Bernard
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  4. Eric Bilinski
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  5. Gilles Adda
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Editor information

Editors and Affiliations

  1. Istituto di Scienza e Tecnologie dell’Informazione, CNR, Pisa, Italy

    Carol Peters

  2. RWTH Aachen University, Aachen, Germany

    Thomas Deselaers

  3. University of Padua, Padua, Italy

    Nicola Ferro

  4. LSI-UNED, Madrid, Spain

    Julio Gonzalo  & Anselmo Peñas  & 

  5. Dublin City University, Dublin 9, Ireland

    Gareth J. F. Jones

  6. Helsinki University of Technology, Espoo, Finland

    Mikko Kurimo

  7. University of Hildesheim, Hildesheim, Germany

    Thomas Mandl

  8. Humboldt University Berlin, Germany

    Vivien Petras

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© 2009 Springer-Verlag Berlin Heidelberg

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Rosset, S., Galibert, O., Bernard, G., Bilinski, E., Adda, G. (2009). The LIMSI Multilingual, Multitask QAst System. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_59

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  • DOI: https://doi.org/10.1007/978-3-642-04447-2_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04446-5

  • Online ISBN: 978-3-642-04447-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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