Abstract
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.
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de Pablo-Sánchez, C., Martínez-Fernández, J.L., Martínez, P., Villena, J. (2005). miraQA: Experiments with Learning Answer Context Patterns from the Web. 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_48
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DOI: https://doi.org/10.1007/11519645_48
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