We present sustain.AI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports. The tool leverages an end-to-end trainable architecture that couples a BERT-based encoding module with a multi-label classification head to match relevant text passages from sustainability reports to their respective law regulations from the Global Reporting Initiative (GRI) standards. We evaluate our model on two novel German sustainability reporting data sets and consistently achieve a significantly higher recommendation performance compared to multiple strong baselines. Furthermore, sustain.AI will be publicly available for everyone within the next months.

翻译：我们提出了sustain.AI，一个智能、上下文感知的推荐系统，可帮助审计师、金融投资者以及公众高效分析企业的可持续性报告。该工具利用端到端可训练架构，将基于BERT的编码模块与多标签分类头相结合，以匹配可持续性报告中的相关文本段落与其对应的全球报告倡议组织（GRI）标准法规。我们在两个新颖的德语可持续性报告数据集上评估了模型，并一致地实现了比多个强基线方法显著更高的推荐性能。此外，sustain.AI将在未来几个月内对所有人公开可用。