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QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. (arXiv:2112.08542v2 [cs.CL] UPDATED)
May 2, 2022, 1:11 a.m. | Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
cs.CL updates on arXiv.org arxiv.org
Factual consistency is an essential quality of text summarization models in
practical settings. Existing work in evaluating this dimension can be broadly
categorized into two lines of research, entailment-based and question answering
(QA)-based metrics, and different experimental setups often lead to contrasting
conclusions as to which paradigm performs the best. In this work, we conduct an
extensive comparison of entailment and QA-based metrics, demonstrating that
carefully choosing the components of a QA-based metric, especially question
generation and answerability classification, is …
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