We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
This paper describes a Question Answering system which retrieves answers from structured data regarding cinemas and movies. The system represents the first prototype of a multilin...
Bogdan Sacaleanu, Constantin Orasan, Christian Spu...
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
Open domain question answering (QA) systems have to bridge the potential vocabulary mismatch between a question and its candidate answers. One can view this as a recall problem and...
Stefan Schlobach, Marius Olsthoorn, Maarten de Rij...
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...