AnswerFinder combines lexical, syntactic, and semantic information in various stages of the question answering process. The candidate sentences are preselected on the basis of (i)...
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
In this paper, we describe the system we used for the trec-2007 Question Answering Track. For factoid questions our redundancy-based approach using a modified version of aranea w...
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 ...
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...