NLproveNAns: natural language provenance for non-answers

Hosted Content, no. 12 (2018): 1986-1989

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Abstract

AbstractNatural language (NL) interfaces to databases allow users without technical background to query the database and get the results. Users of such systems may be surprised by the absence of certain expected results. To this end, we propose to demonstrate NLProveNAns, a system that allows non-expert users to view explanations for non-...More

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Tomer Haimovich
Tomer Haimovich
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