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Textual evidence gathering and analysis

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5 Author(s)
Murdock, J.W. ; IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA ; Fan, J. ; Lally, A. ; Shima, H.
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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.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:56 ,  Issue: 3.4 )

Date of Publication:

May-June 2012

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