miraQA: Experiments with Learning Answer Context Patterns from the Web

  • César de Pablo-Sánchez
  • José Luis Martínez-Fernández
  • Paloma Martínez
  • Julio Villena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3491)


We present the miraQA system which is MIRACLE’s first experience in Question Answering for monolingual Spanish. The general architecture of the system developed for QA@CLEF 2004 is presented as well as evaluation results. miraQA characterizes by learning the rules for answer extraction from the Web using a Hidden Markov Model of the context in which answers appear. We used a supervised approach that uses questions and answers from last years evaluation set for training.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abney, S., Collins, M., Singhal, A.: Answer extraction. In: Proceedings of Applied Natural Language Processing, ANLP-2000 (2000)Google Scholar
  2. 2.
    Atserias, J., Carmona, J., Castellón, I., Cervell, S., Civit, M., Màrquez, L., Martí, M.A., Padró, L., Placer, R., Rodríguez, H., Taulé, M., Turmo, J.: Morphosyntactic Analysis and Parsing of Unrestricted Spanish. In: Proceedings of the 1st International Conference on Language Resources and Evaluation (LREC 1998), Granada, Spain (1998)Google Scholar
  3. 3.
    Baeza-Yates, R., Ribeiro-Neto, B. (eds.): Modern Information Retrieval. Addison Wesley, New York (1999)Google Scholar
  4. 4.
    Brill, E., Lin, J., Banco, M., Dumais, S., Ng, A.: Data-Intensive Question Answering. In: Proceedings of TREC 2001 (2001)Google Scholar
  5. 5.
    Jurafsky, D., Martin, J.H.: Speech and Language Processing. Prentice Hall, Upper Saddle River (2000)Google Scholar
  6. 6.
    Manning, C., Schütze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge (1999)MATHGoogle Scholar
  7. 7.
    Magnini, B., Romagnoli, S., Vallin, A., Herrera, J., Peñas, A., Peinado, V., Verdejo, F., de Rijke, M.: The Multiple Language Question Answering Track at CLEF 2003 (2003), Available at http://clef.isti.cnr.it/2003/WN_web/36.pdf
  8. 8.
    Magnini, B., Vallin, A., Ayache, C., Erbach, G., Peñas, A., de Rijke, M., Rocha, P., Simov, K., Sutcliffe, R.: Overview of the CLEF 2004 multilingual question answering track. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 371–391. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Mérialdo, B.: Tagging English Text with a Probabilistic Model. Computational Linguistics 20, 155–171 (1994)Google Scholar
  10. 10.
    Ravichandran, D., Hovy, E.H.: Learning Surface Text Patterns for a Question Answering System. In: Proceedings of the 40th ACL conference, Philadelphia, PA (2002)Google Scholar
  11. 11.
    Vicedo, J.L.: Recuperando información de alta precisión. Los sistemas de Búsqueda de Respuestas. Phd Thesis. Universidad de Alicante (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • César de Pablo-Sánchez
    • 1
  • José Luis Martínez-Fernández
    • 1
  • Paloma Martínez
    • 1
  • Julio Villena
    • 2
  1. 1.Advanced Databases Group, Computer Science DepartmentUniversidad Carlos III de MadridLeganés , MadridSpain
  2. 2.Centro de Empresas “La Arboleda”DAEDALUS – Data, Decisions and Language S.A.MadridSpain

Personalised recommendations