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An Answer Bank for Temporal Inference
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)
Abstract
Answering questions that ask about temporal information involves several forms of inference. In order to develop question answering capabilities that benefit from temporal inference, we believe that a large corpus of questions and answers that are discovered based on temporal information should be available. This paper describes our methodology for creating AnswerTime-Bank, a large corpus of questions and answers on which Question Answering systems can operate using complex temporal inference.