Chapter

Multilingual Information Access for Text, Speech and Images

Volume 3491 of the series Lecture Notes in Computer Science pp 494-501

miraQA: Experiments with Learning Answer Context Patterns from the Web

  • César de Pablo-SánchezAffiliated withAdvanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid
  • , José Luis Martínez-FernándezAffiliated withAdvanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid
  • , Paloma MartínezAffiliated withAdvanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid
  • , Julio VillenaAffiliated withCentro de Empresas “La Arboleda”, DAEDALUS – Data, Decisions and Language S.A.

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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.