ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting

Gaku Morio, Soh Young In, Jungah Yoon, Harri Rowlands, Christopher Manning

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Demo Track. Pages 8749-8753.

https://doi.org/10.24963/ijcai.2024/1024

PDF BibTeX

Abstract

We introduce ReportParse, a Python-based tool designed to parse corporate sustainability reports.

It combines document structure analysis with natural language processing (NLP) models to extract sustainability-related information from the reports.

We also provide easy-to-use web and command interfaces.

The tool is expected to aid researchers and analysts in evaluating corporate commitment to and management of sustainability efforts.

Keywords

• Natural Language Processing: NLP: Tools
• Multidisciplinary Topics and Applications: MDA: Finance
• Multidisciplinary Topics and Applications: MDA: Social sciences
• Natural Language Processing: NLP: Applications