LUNA：一个用于语言理解与自然度评估的框架
LUNA: A Framework for Language Understanding and Naturalness Assessment
AI总结：
LUNA是一个统一框架，提供20个NLG评估指标接口，支持多种文本表示类型，便于扩展新指标，为生成文本评估提供用户友好的工具。
摘要：
对自然语言生成（NLG）模型的评估日益受到关注，促使了评估生成文本各方面的指标的发展。LUNA通过为20个NLG评估指标引入统一接口来解决这一挑战。这些指标根据其参考依赖性和所采用的文本表示类型进行分类，从基于字符串的n-gram重叠到静态嵌入和预训练语言模型的使用。LUNA简洁的设计使其易于用新指标进行扩展，只需几行代码。LUNA提供了一个用户友好的工具来评估生成文本。
英文摘要：
The evaluation of Natural Language Generation (NLG) models has gained increased attention, urging the development of metrics that evaluate various aspects of generated text. LUNA addresses this challenge by introducing a unified interface for 20 NLG evaluation metrics. These metrics are categorized based on their reference-dependence and the type of text representation they employ, from string-based n-gram overlap to the utilization of static embeddings and pre-trained language models. The straightforward design of LUNA allows for easy extension with novel metrics, requiring just a few lines of code. LUNA offers a user-friendly tool for evaluating generated texts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
