论文标题
使用自然语言处理分析可持续性报告
Analyzing Sustainability Reports Using Natural Language Processing
论文作者
论文摘要
气候变化是一种深远的全球现象，将影响我们社会的许多方面，包括全球股票市场\ cite {Dietz2016 Climate}。近年来，公司越来越多地致力于减轻环境影响并适应不断变化的气候环境。这是通过日益详尽的报告进行了报告的，该报告涵盖了环境，社会和治理（ESG）的多种类型的气候风险和暴露。但是，鉴于大量数据，可持续性分析师有义务梳理数百页的报告，以找到相关信息。我们利用自然语言处理（NLP）的最新进展来创建自定义模型ClimateQA，该模型允许对财务报告进行分析，以便基于问题答案方法识别与气候相关的部分。我们在本文中介绍了该工具以及用来开发它的方法。
Climate change is a far-reaching, global phenomenon that will impact many aspects of our society, including the global stock market \cite{dietz2016climate}. In recent years, companies have increasingly been aiming to both mitigate their environmental impact and adapt to the changing climate context. This is reported via increasingly exhaustive reports, which cover many types of climate risks and exposures under the umbrella of Environmental, Social, and Governance (ESG). However, given this abundance of data, sustainability analysts are obliged to comb through hundreds of pages of reports in order to find relevant information. We leveraged recent progress in Natural Language Processing (NLP) to create a custom model, ClimateQA, which allows the analysis of financial reports in order to identify climate-relevant sections based on a question answering approach. We present this tool and the methodology that we used to develop it in the present article.
