Early question and answering (QA) systems focused on keyword search among documents for answers. However, such systems can only answer fact-based questions. It becomes clear that ...
This paper accounts for Priberam's participation in the monolingual question answering (QA) track of CLEF 2007. In previous participations, Priberam’s QA system obtained en...
Abstract. LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen....
Current question answering systems succeed in many respects regarding questions about textual documents. However, information exists in other media, which provides both opportunit...
Boris Katz, Jimmy J. Lin, Chris Stauffer, W. Eric ...
In this paper we introduce the semantic approach of the answer extraction component of a question answering system called SBUQA. The answer extraction component gets the retrieved...