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Studying Syntactic Analysis in a QA System: FIDJI @ ResPubliQA’09

  • Xavier Tannier
  • Véronique Moriceau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6241)

Abstract

FIDJI is an open-domain question-answering system for French. The main goal is to validate answers by checking that all the information given in the question is retrieved in the supporting texts. This paper presents FIDJI’s results at ResPubliQA 2009, as well as additional experiments bringing to light the role of linguistic modules in this particular campaign.

Keywords

Dependency Relation Question Type Question Answering Short Answer Syntactic Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Peñas, A.P., Forner, P., Sutcliffe, R., Rodrigo, A., Forăscu, C., Iñaki Alegria, I., Giampiccolo, D., Moreau, N., Osenova, P.: Overview of ResPubliQA 2009: Question Answering Evaluation over European Legislation.In: [12] (2009)Google Scholar
  2. 2.
    Katz, B., Lin, J.: Selectively Using Relations to Improve Precision in Question Answering. In: Proceedings of the EACL 2003 Workshop on Natural Language Processing for Question Answering (2003)Google Scholar
  3. 3.
    Sun, R., Jiang, J., Tan, Y.F., Cui, H., Chua, T.S., Kan, M.Y.: Using Syntactic and Semantic Relation Analysis in Question Answering. In: Voorhees, E.M., Buckland, L.P. (eds.) Proceedings of the Fourteenth Text REtrieval Conference (2005)Google Scholar
  4. 4.
    Katz, B., Borchardt, G., Felshin, S.: Syntactic and Semantic decomposition Strategies for Question Answering from Multiple Resources. In: Proceedings of the AAAI 2005 Workshop on Inference for Textual Question Answering (2005)Google Scholar
  5. 5.
    Hickl, A., Wang, P., Lehmann, J., Harabagiu, S.: FERRET: Interactive Question-Answering for Real-World Environments. In: COLING/ACL Interactive Presentation Sessions, Sydney, Australia (2006)Google Scholar
  6. 6.
    Hartrumpf, S., Glöckner, I., Leveling, J.: University of Hagen at QA@CLEF 2008: Efficient Question Answering with Question Decomposition and Multiple Answer Streams. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) CLEF 2008. LNCS, vol. 5706, Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Hatcher, E., Gospodnetić, O.: Lucene in Action. Manning (2004)Google Scholar
  8. 8.
    Moriceau, V., Tannier, X., Grau, B.: Utilisation de la syntaxe pour valider les réponses à des questions par plusieurs documents. In: Proceedings of COnférence en Recherche d’Information et Applications, CORIA (2009)Google Scholar
  9. 9.
    Tannier, X., Moriceau, V.: FIDJI in ResPubliQA 2009. In: [12] (2009)Google Scholar
  10. 10.
    Aït-Mokhtar, S., Chanod, J.P., Roux, C.: Robustness beyond Shallowness: Incremental Deep Parsing. Natural Language Engineering 8, 121–144 (2002)CrossRefGoogle Scholar
  11. 11.
    Moriceau, V., Tannier, X.: Apport de la syntaxe dans un sysème de question-réponse: étude du système FIDJI. In: Actes de la Conférence Traitement Automatique des Langues Naturelles, Senlis, France (2009)Google Scholar
  12. 12.
    Working Notes for the CLEF 2009 Workshop, Corfu, Greece (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Xavier Tannier
    • 1
  • Véronique Moriceau
    • 1
  1. 1.LIMSI-CNRSUniversity Paris Sud 11OrsayFrance

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