Evaluating the Factual Consistency of Abstractive Text Summarization

28 Oct 2019Wojciech KryścińskiBryan McCannCaiming XiongRichard Socher

Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents. We propose a weakly-supervised, model-based approach for verifying factual consistency and identifying conflicts between source documents and a generated summary... (read more)

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