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International Conference on Application of Natural Language to Information Systems

NLDB 2008: Natural Language and Information Systems pp 339–340Cite as

Improving Question Answering Tasks by Textual Entailment Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5039))

Abstract

This paper explores a suitable way to integrate a Textual Entailment (TE) system, which detects unidirectional semantic inferences, into Question Answering (QA) tasks. We propose using TE as an answer validation engine to improve QA systems, and we evaluate its performance using the Answer Validation Exercise framework. Results point out that our TE system can improve the QA task considerably.

This research has been partially subsidized by the Spanish Government under project TIN2006-15265-C06-01 and by the QALL-ME consortium, 6th Framework Research Programme of the European Union (EU), FP6-IST-033860.

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References

  1. Giampiccolo, D., Magnini, B., Dagan, I., Dolan, B.: The Third PASCAL Recognizing Textual Entailment Challenge. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, Prague, June 2007, pp. 1–9 (2007)

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  2. Ferrández, O., Micol, D., Muñoz, R., Palomar, M.: A Perspective-Based Approach for Solving Textual Entailment Recognition. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, Prague, June 2007, pp. 66–71 (2007)

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  3. Rodrigo, A., Peñas, A., Verdejo, F.: UNED at Answer Validation Exercise 2007. In: Working Notes of the CLEF 2007 Workshop, Budapest, Hungary (September 2007)

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  4. Kozareva, Z., Ferrández, O., Montoyo, A., Muñoz, R.: Combining data-driven systems for improving Named Entity Recognition. Data and Knowledge Engineering 61(3), 449–466 (2007)

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Authors and Affiliations

  1. Natural Language Processing and Information Systems Group Department of Computing Languages and Systems, University of Alicante,  

    Óscar Ferrández, Rafael Muñoz & Manuel Palomar

Authors
  1. Óscar Ferrández
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  2. Rafael Muñoz
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  3. Manuel Palomar
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Editor information

Epaminondas Kapetanios Vijayan Sugumaran Myra Spiliopoulou

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© 2008 Springer-Verlag Berlin Heidelberg

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Ferrández, Ó., Muñoz, R., Palomar, M. (2008). Improving Question Answering Tasks by Textual Entailment Recognition. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_37

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  • DOI: https://doi.org/10.1007/978-3-540-69858-6_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69857-9

  • Online ISBN: 978-3-540-69858-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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