English

ESG Accountability Made Easy: DocQA at Your Service

Computation and Language 2024-05-06 v1 Artificial Intelligence Computer Vision and Pattern Recognition

Abstract

We present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several technologies from different AI disciplines consisting of document conversion to machine-readable format (via computer vision), finding relevant data (via natural language processing), and formulating an eloquent response (via large language models). Users can explore over 10,000 Environmental, Social, and Governance (ESG) disclosure reports from over 2000 corporations. The Deep Search platform can be accessed at: https://ds4sd.github.io.

Keywords

Cite

@article{arxiv.2311.18481,
  title  = {ESG Accountability Made Easy: DocQA at Your Service},
  author = {Lokesh Mishra and Cesar Berrospi and Kasper Dinkla and Diego Antognini and Francesco Fusco and Benedikt Bothur and Maksym Lysak and Nikolaos Livathinos and Ahmed Nassar and Panagiotis Vagenas and Lucas Morin and Christoph Auer and Michele Dolfi and Peter Staar},
  journal= {arXiv preprint arXiv:2311.18481},
  year   = {2024}
}

Comments

Accepted at the Demonstration Track of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 24)

R2 v1 2026-06-28T13:36:50.632Z