We present1 an evolutionary approach for the computation of exact answers to Natural Languages (NL) questions. Answers are extracted directly from the N
Abstract. One question that arises if we want to evolve generation techniques to accommodate Web ontologies is how to capture and expose the relevant ontology content to the user. ...
GikiCLEF focused on the evaluation of the reasoning capabilities of systems to provide right answers for geographically-challenging topics. As we did not have previous experience ...
Nuno Cardoso, David Batista, Francisco J. Ló...
Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One c...
Stefan Schlobach, David Ahn, Maarten de Rijke, Val...
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...