Building an XML Framework for Question Answering.
David Tomás, José Luis Vicedo González, Maximiliano Saiz-Noeda, Rubén Izquierdo · 2005
This paper describes the novelties introduced in the Question Answering system developed in the Natural Language Processing and Information Systems Group at the University of Alicante for QA@CLEF 2005 campaign with respect to our previous participations. Thinking of future developments, this year we have designed a modular framework based on XML that will easily let us integrate, combine and test system components based on different approaches. In this context, several modifications have been done. Mainly, a new machine learning based question classification module has been added and tested, the document retrieval engine has been changed and several new heuristics for answer extraction have been applied. We took part in the monolingual Spanish task.