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Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
March 22, 2024, 4:48 a.m. | Shuqian Sheng, Yi Xu, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
cs.CL updates on arXiv.org arxiv.org
Abstract: The majority of automatic metrics for evaluating NLG systems are reference-based. However, the challenge of collecting human annotation results in a lack of reliable references in numerous application scenarios. Despite recent advancements in reference-free metrics, it has not been well understood when and where they can be used as an alternative to reference-based metrics. In this study, by employing diverse analytical approaches, we comprehensively assess the performance of both metrics across a wide range of …
abstract annotation application arxiv challenge cs.cl evaluation free however human metrics nlg reference results systems type
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