Rayhane Rezgui
2021
Automatic Verification of Data Summaries
Rayhane Rezgui
|
Mohammed Saeed
|
Paolo Papotti
Proceedings of the 14th International Conference on Natural Language Generation
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.