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University of Alicante at QA@CLEF2006: Answer Validation Exercise

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Evaluation of Multilingual and Multi-modal Information Retrieval (CLEF 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4730))

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Abstract

In this paper we present an Answer Validation System which is based on the combination of word overlap and Latent Semantic Indexing modules. The main contribution of our work consist in the adaptation of our already developed machine-learning textual entailment system MLEnt to the multilingual Answer Validation exercise.

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References

  1. Dagan, I., Glickman, O.: Probabilistic textual entailment: Generic applied modeling of language variability. In: Proceedings of the PASCAL workshop on Text Understanding and Mining

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  2. Kozareva, Z., Montoyo, A.: Mlent: The machine learning entailment system of the university of alicante. In: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment (2006)

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  3. Kozareva, Z., Vazquez, S., Montoyo, A.: Adaptation of a machine-learning textual entailment system to a multilingual answer validation exercise. In: Working Notes of CLEF 2006 (2006), ISBN 2-912335-21-3

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante,  

    Zornitsa Kozareva, Sonia Vázquez & Andrés Montoyo

Authors
  1. Zornitsa Kozareva
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  2. Sonia Vázquez
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  3. Andrés Montoyo
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Editor information

Carol Peters Paul Clough Fredric C. Gey Jussi Karlgren Bernardo Magnini Douglas W. Oard Maarten de Rijke Maximilian Stempfhuber

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© 2007 Springer-Verlag Berlin Heidelberg

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Kozareva, Z., Vázquez, S., Montoyo, A. (2007). University of Alicante at QA@CLEF2006: Answer Validation Exercise. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_63

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  • DOI: https://doi.org/10.1007/978-3-540-74999-8_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74998-1

  • Online ISBN: 978-3-540-74999-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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