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IRIT at INEX: Question Answering Task

  • Conference paper
Focused Retrieval of Content and Structure (INEX 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7424))

Abstract

In this paper we describe an approach for tweet contextualization developed in the context of the INEX question answering track. The task is to provide a context up to 500 words to a tweet. The summary should be an extract from the Wikipedia. Our approach is based on the index which includes not only lemmas, but also named entities (NE). Sentence retrieval is based on standard TF-IDF measure enriched by named entity recognition, part-of-speech (POS) weighting and smoothing from local context. The method has been ranked first in the INEX QA track according to content evaluation.

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Author information

Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, 118 Route de Narbonne, 31062, Toulouse Cedex 9, France

    Liana Ermakova & Josiane Mothe

Authors
  1. Liana Ermakova
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  2. Josiane Mothe
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology (QUT), PO Box 2434, 4001, Brisbane, QLD, Australia

    Shlomo Geva

  2. Archives and Information Studies/Humanities, University of Amsterdam, Turfdraagsterpad 9, 1012XT, Amsterdam, The Netherlands

    Jaap Kamps

  3. Cluster of Excellence, , , Multimodal Computing and Interaction Cluster of Excellence, Multimodal Computing and Interaction, Saarland University, Campus E1, 66123, Saarbrücken, Germany

    Ralf Schenkel

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Ermakova, L., Mothe, J. (2012). IRIT at INEX: Question Answering Task. In: Geva, S., Kamps, J., Schenkel, R. (eds) Focused Retrieval of Content and Structure. INEX 2011. Lecture Notes in Computer Science, vol 7424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35734-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-35734-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35733-6

  • Online ISBN: 978-3-642-35734-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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