INLG 2021, 14th International Conference on Natural Language Generation, 20-24 September 2021, Aberdeen, United Kingdom
We present a generic method to compute the factual accuracy of a generated data summary with minimal user effort. We look at the problem as a fact-checking task to verify the numerical claims in the text. The verification algorithm assumes that the data used to generate the text is available. In this paper, we describe how the proposed solution has been used to identify incorrect claims about basketball textual summaries in the context of the Accuracy Shared Task at INLG 2021.
Poster / Demo
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