Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008

  • Pere R. Comas
  • Jordi Turmo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. We have participated in the English and Spanish scenarios of QAst. For the processing of manual transcripts we have deployed a robust factoid Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we modify the QA system with a Passage Retrieval and Answer Extraction engine based on a sequence alignment algorithm that searches for “sounds like” sequences. We perform a detailed analysis of our results and draw conclusions relating QA performance to word error rate in transcripts.


Question Answering Spoken Document Retrieval  Evaluation 


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  1. 1.
    Carreras, X., Márquez, L., Padró, L.: Named entity extraction using adaboost. In: COLING 2002: proceedings of the 6th conference on Natural language learning (2002)Google Scholar
  2. 2.
    Comas, P.R., Turmo, J.: Spoken document retrieval based on approximated sequence alignment. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2008. LNCS (LNAI), vol. 5246, pp. 285–292. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Comas, P.R., Turmo, J., Surdeanu, M.: Robust question answering for speech transcripts using minimal syntactic analysis. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 424–432. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
    Li, X., Roth, D.: Learning question classifiers: The role of semantic information. Journal of Natural Language Engineering (2005)Google Scholar
  5. 5.
    Paşca, M.: High-performance, open-domain question answering from large text collections. PhD thesis, Southern Methodist University, Dallas, TX (2001)Google Scholar
  6. 6.
    Surdeanu, M., Dominguez-Sal, D., Comas, P.R.: Design and performance analysis of a factoid question answering system for spontaneous speech transcriptions. In: INTERSPEECH 2006 (2006)Google Scholar
  7. 7.
    Surdeanu, M., Turmo, J., Comelles, E.: Named entity recognition from spontaneous open-domain speech. In: INTERSPEECH 2005 (2005)Google Scholar
  8. 8.
    Turmo, J., Comas, P.R., Rosset, S., Lamel, L., Moureau, N., Mostefa, D.: Overview of QAST 2008. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 314–324. Springer, Heidelberg (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pere R. Comas
    • 1
  • Jordi Turmo
    • 1
  1. 1.TALP Research CenterTechnical University of Catalonia (UPC)Spain

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