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

IJCAI 2024poster1 citations

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

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.

Natural Language Processing: NLP: ToolsMultidisciplinary Topics and Applications: MDA: FinanceMultidisciplinary Topics and Applications: MDA: Social sciencesNatural Language Processing: NLP: Applications

BibTeX

@inproceedings{ijcai2024p1024,
  title     = {ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting},
  author    = {Morio, Gaku and In, Soh Young and Yoon, Jungah and Rowlands, Harri and Manning, Christopher},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {8749--8753},
  year      = {2024},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2024/1024},
  url       = {https://doi.org/10.24963/ijcai.2024/1024},
}