MiraQA: Experiments with learning answer context patterns from the Web

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. © Springer-Verlag Berlin Heidelberg 2005.