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

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

Gaku Morio, Soh Young In, Jungah Yoon, Harri Rowlands and Christopher Manning
Proceedings Of The Thirty-Third International Joint Conference On Artificial Intelligence (IJCAI) 2024, pp.8749-8753
International Joint Conference on Artificial Intelligence (IJCAI) 2024, 33rd (Jeju Island, South Korea, 03/08/2024–09/08/2024)
01/01/2024
DOI: https://doi.org/10.24963/ijcai.2024/1024
Handle:
https://hdl.handle.net/10523/45328

Abstract

Computer Science ReportParse python tool corporate sustainability reports Natural Language Processing tools Natural Language Processing applications finance AI artificial intelligence programming NLP models
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.
url
https://doi.org/10.24963/ijcai.2024/1024View
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