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Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
[article]
2021
arXiv
pre-print
Despite significant progress has been achieved in text summarization, factual inconsistency in generated summaries still severely limits its practical applications. Among the key factors to ensure factual consistency, a reliable automatic evaluation metric is the first and the most crucial one. However, existing metrics either neglect the intrinsic cause of the factual inconsistency or rely on auxiliary tasks, leading to an unsatisfied correlation with human judgments or increasing the
arXiv:2108.13134v2
fatcat:rtwaagkbjnbabcpdjsyj2pwlyi