Abstract
This paper describes the prototype developed by the Language Technologies Laboratory at INAOE for Spanish monolingual QA evaluation task at CLEF 2004. Our approach is centered on the use of context at a lexical level in order to identify possible answers to factoid questions. This method is supported by an alternative one based on pattern recognition in order to identify candidate answers to definition questions. We describe the methods applied at different stages of the system and our prototype architecture for question answering. The paper shows and discusses the results we achieved with this approach.
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Breiman, L.: Bagging predictors. Machine Learning 24(2), 123–140 (1996)
Burger, J., et al.: Issues, Tasks and Program Structures to Roadmap Research in Question & Answering (Q&A). NIST 2001 (2001)
Carreras, X., Padró, L.: A Flexible Distributed Architecture for Natural Language Analyzers. In: Proceedings of the LREC 2002, Las Palmas de Gran Canaria, Spain (2002)
Cowie, J., et al.: Automatic Question Answering. In: Proceedings of the International Conference on Multimedia Information Retrieval, RIAO 2000 (2000)
Del Castillo-Escobedo, A., Montes-y-Gómez, M., Villaseñor-Pineda, L.: QA on the Web: A Preliminary Study for Spanish Language. In: Baeza-Yates, et al. (eds.) Proceedings of Fifth Mexican International Conference on Computer Science. IEEE Computer Society, Mexico (2004)
Hirshman, L., Gaizauskas, R.: Natural Language Question Answering: The View from Here. Natural Language Engineering 7 (2001)
Magnini, B., Romagnoli, S., Vallin, A., Herrera, J., Peñas, A., Peinado, V., Verdejo, F., Rijke, M.: The Multiple Language Question Answering Track at CLEF 2003. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237, pp. 471–486. Springer, Heidelberg (2004)
Pérez-Coutiño, M., Solorio, T., Montes-y-Gómez, M., López-López, A., Villaseñor-Pineda, L.: Toward a Document Model for Question Answering Systems. In: Favela, J., Menasalvas, E., Chávez, E. (eds.) AWIC 2004. LNCS (LNAI), vol. 3034, pp. 145–154. Springer, Heidelberg (2004)
Prager, J., Radev, D., Brown, E., Coden, A., Samn, V.: The Use of Predictive Annotation for Question Answering in TREC8. NIST (1999)
Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann, San Francisco (1993)
Ravichandran, D., Hovy, E.: Learning Surface Text Patterns for a Question Answering System. In: ACL Conference (2002)
Solorio, T., Pérez-Coutiño, M., Montes-y-Gómez, M., Villaseñor-Pineda, L., López-López, A.: A language independent method for question classification. In: COLING 2004, Switzerland (2004)
Vapnik, V.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)
Vicedo, J.L., Izquierdo, R., Llopis, F., Muñoz, R.: Question Answering in Spanish. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237, pp. 541–548. Springer, Heidelberg (2004)
Vicedo, J.L., Rodríguez, H., Peñas, A., Massot, M.: Los sistemas de Búsqueda de Respuestas desde una perspectiva actual. Revista de la Sociedad Española para el Procesamiento del Lenguaje Natural 31 (2003)
Witten, H., Frank, E.: Data Mining, Practical Machine Learning Tools and Techniques with Java Implementations. The Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, San Francisco (1999)
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Pérez-Coutiño, M., Solorio, T., Montes-y-Gómez, M., López-López, A., Villaseñor-Pineda, L. (2005). Question Answering for Spanish Supported by Lexical Context Annotation. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_49
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DOI: https://doi.org/10.1007/11519645_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27420-9
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