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  • Ming Zhong, Yang Liu, Da Yin
    |
    Oct 13th, 2022
    |
    preprint
    Ming Zhong, Yang Liu, Da Yin
    Oct 13th, 2022

    Multi-dimensional evaluation is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimensions, such as coherence and fluency. However, automatic evaluation in NLG is still dominated by similarity-based metrics, and we lack a reliable framework for a more comprehensive evaluation of advanced models. In this paper, we propose a unified multi-dimensional evaluator UniEval for NLG. We re-frame NLG...

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