Qing Li, Zhigang Deng, et al.
IEEE T-MI
One useful source of evidence for evaluating a candidate answer to a question is a passage that contains the candidate answer and is relevant to the question. In the DeepQA pipeline, we retrieve passages using a novel technique that we call Supporting Evidence Retrieval, in which we perform separate search queries for each candidate answer, in parallel, and include the candidate answer as part of the query. We then score these passages using an assortment of algorithms that use different aspects and relationships of the terms in the question and passage. We provide evidence that our mechanisms for obtaining and scoring passages have a substantial impact on the ability of our question-answering system to answer questions and judge the confidence of the answers. © 1957-2012 IBM.
Qing Li, Zhigang Deng, et al.
IEEE T-MI
William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
B.K. Boguraev, Mary S. Neff
HICSS 2000