Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
PiQASso is a Question Answering system based on a combination of modern IR techniques and a series of semantic filters for selecting paragraphs containing a justifiable answer. Se...
Giuseppe Attardi, Antonio Cisternino, Francesco Fo...
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...
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if the answer to a question is correct or not. Since it is expected that a high per...