Abstract
One major problem of state-of-the-art Cross Language Question Answering systems is the translation of user questions. This paper proposes combining the potential of multiple translation machines in order to improve the final answering precision. In particular, it presents three different methods for this purpose. The first one focuses on selecting the most fluent translation from a given set; the second one combines the passages recovered by several question translations; finally, the third one constructs a new question reformulation by merging word sequences from different translations. Experimental results demonstrated that the proposed approaches allow reducing the error rates in relation to a monolingual question answering exercise.
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References
Callison-Burch, C., Flournoy, R.A.: Program for Automatically Selecting the Best Output from Multiple Machine Translation Engines. In: Proceedings of the Machine Translation Summit VIII, Santiago de Compostela, Spain (2001)
García-Hernández, R.A., Martínez Trinidad, J.F., Carrasco-Ochoa, J.A.: A Fast Algorithm to Find All the Maximal Frequent Sequences in a Text. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 478–486. Springer, Heidelberg (2004)
Gonzalo, J.: Scenarios for interactive cross-language retrieval systems. In: Proceedings of the Workshop of Cross-Language Information Retrieval: A Research Roadmap Workshop held at the 25th Annual International ACM SIGIR Conference, Tampere, Finland, ACM, New York (2002)
Jijkoun, V., Mishne, G., de Maarten, R., Schlobach, S., Ahn, D., Muller, K.: The University of Amsterdam at QA@CLEF 2004. In: Peters, C., Clough, P.D., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 321–324. Springer, Heidelberg (2005)
Laurent, D., Séguela, P., Nègre, S.: Cross lingual question answering using QRISTAL for CLEF 2005. In: Working Notes, CLEF Cross-Language Evaluation Forum, Vienna, Austria (2005)
Magnini, B., Giampiccolo, D., Forner, P., Ayache, C., Osenova, P., Peñas A., Jijkoun V., Sacaleanu B., Rocha P., Sutcliffe R.: Overview of the CLEF 2005 Multilingual Question Answering Track. CLEF 2006, Alicante, España (2006)
Montes-y-Gómez, M., Villaseñor-Pineda, L., Pérez-Coutiño, M., Gómez-Soriano, J. M., Sanchis-Arnal, E., Rosso, P.: INAOE-UPV Joint Participation in CLEF 2005: Experiments in Monolingual Question Answering. CLEF 2005, Vienna, Austria (2005)
Neumann, G., Sacaleanu, B.: DFKI’s LT-lab at the CLEF 2005 multiple language question answering track. In: Working Notes, CLEF Cross-Language Evaluation Forum, Vienna, Austria (2005)
de Pablo-Sánchez, C., González-Ledesma, A., Martínez-Fernández, J.L., Guirao, J.M., Martinez, P., Moreno, A.: MIRACLE’s 2005 approach to cross-lingual question answering. In: Working Notes, CLEF Cross- Language Evaluation Forum, Vienna, Austria (2005)
Perret, L.: Question answering system for the French language. In: Peters, C., Clough, P.D., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 295–303. Springer, Heidelberg (2005)
Saarikoski, H., Legrand, S., Gelbukh, A.: Defining Classifier Regions for WSD Ensembles Using Word Space Features. In: Gelbukh, A., Reyes-Garcia, C.A. (eds.) MICAI 2006. LNCS (LNAI), vol. 4293, Springer, Heidelberg (2006)
Sutcliffe, R.F.E., Mulcahy, M., Gabbay, I., O’Gorman, A., White, K., Slatter, D.: Cross-Language French-English Question Answering using the DLT System at CLEF. In: Working Notes of the 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Wien, Sept. (2005)
Tanev, H., Negri, M., Magnini, B., Kouylekov, M.: The DIOGENE question answering system at CLEF-2004. In: Working Notes, CLEF Cross-Language Evaluation Forum, Bath, UK, pp. 325–333, (2004)
Vallin, A., Giampiccolo, D., Aunimo, L., Ayache, C., Osenova, P., Peñas A., de Rijke M., Sacaleanu B., Santos D. Sutcliffe R.: Overview of the CLEF 2005 Multilingual Question Answering Track. CLEF 2005, Vienna, Austria (2005)
Villasenor-Pineda, L., Montes-y-Gómez, M., Pérez-Coutino, M., Vaufreydaz, D. A: Corpus Balancing Method for Language Model Construction. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, Springer, Heidelberg (2003)
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Aceves-Pérez, R.M., Montes-y-Gómez, M., Villaseñor-Pineda, L. (2007). Enhancing Cross-Language Question Answering by Combining Multiple Question Translations. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2007. Lecture Notes in Computer Science, vol 4394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70939-8_43
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DOI: https://doi.org/10.1007/978-3-540-70939-8_43
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