In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
We describe initial experiments in combining the output of question answering systems using data from the 2002 TREC Question Answering task. We explore several distance-based comb...
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
The Question Answering Task requires user interaction. Users can help the system by reformulating the questions, adding information to them or selecting the documents on which the ...
A Pilot Question Answering Task has been activated in the Cross-Language Evaluation Forum 2004 with a twofold objective. In the first place, the evaluation of Question Answering ...
For our second participation to the Question Answering task of CLEF, we kept last year’s system named MUSCLEF, which uses two translation strategies implemented in two modules. ...
This paper discusses our system’s results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information ret...
This paper describes the work done by the RFIA group at the Departamento de Sistemas Inform´aticos y Computaci´on of the Universidad Polit´ecnica of Valencia for the 2007 editio...
Davide Buscaldi, Yassine Benajiba, Paolo Rosso, Em...