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Automatic Verification of Data Summaries

2021-08-01INLG (ACL) 2021Unverified0· sign in to hype

Rayhane Rezgui, Mohammed Saeed, Paolo Papotti

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Abstract

We present a generic method to compute thefactual accuracy of a generated data summarywith minimal user effort. We look at the prob-lem as a fact-checking task to verify the nu-merical claims in the text. The verification al-gorithm assumes that the data used to generatethe text is available. In this paper, we describehow the proposed solution has been used toidentify incorrect claims about basketball tex-tual summaries in the context of the AccuracyShared Task at INLG 2021.

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