文章基本信息

标题：Evaluating the Evaluation of Diversity in Natural Language Generation
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作者：Guy Tevet ; Jonathan Berant
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2021
卷号：2021
页码：326-346
DOI：10.18653/v1/2021.eacl-main.25
语种：English
出版社：ACL Anthology
摘要：Despite growing interest in natural language generation (NLG) models that produce diverse outputs, there is currently no principled method for evaluating the diversity of an NLG system. In this work, we propose a framework for evaluating diversity.