论文标题
NLP研究中的气候意识
Towards Climate Awareness in NLP Research
论文作者
论文摘要
鉴于越来越多地用于培训和运行计算模型，AI和NLP研究的气候影响和NLP研究尤其是一个严重的问题。因此，增加的重点放在有效的NLP上。但是，这项重要的倡议缺乏简单的准则，可以允许对NLP研究进行系统的气候报告。我们认为，这种缺陷是NLP中很少出版物报告关键数据的原因之一，这些数据将允许对环境影响进行更彻底的研究。作为一种补救措施，我们提出了一张气候性能模型卡，其主要目的是仅使用有关实验和基础计算机硬件的有限信息可用。我们描述了为什么这一步骤对于提高对NLP研究的环境影响的认识以及从而为更彻底的讨论铺平道路至关重要。
The climate impact of AI, and NLP research in particular, has become a serious issue given the enormous amount of energy that is increasingly being used for training and running computational models. Consequently, increasing focus is placed on efficient NLP. However, this important initiative lacks simple guidelines that would allow for systematic climate reporting of NLP research. We argue that this deficiency is one of the reasons why very few publications in NLP report key figures that would allow a more thorough examination of environmental impact. As a remedy, we propose a climate performance model card with the primary purpose of being practically usable with only limited information about experiments and the underlying computer hardware. We describe why this step is essential to increase awareness about the environmental impact of NLP research and, thereby, paving the way for more thorough discussions.
