ESG Accountability Made Easy: DocQA at Your Service

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar

AAAI 2024 pp. 23814-23816

doi:10.1609/AAAI.V38I21.30574 /aaai/2024/mishra2024aaai-esg/

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.

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Cite

Text

Mishra et al. "ESG Accountability Made Easy: DocQA at Your Service." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30574

Markdown

[Mishra et al. "ESG Accountability Made Easy: DocQA at Your Service." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/mishra2024aaai-esg/) doi:10.1609/AAAI.V38I21.30574

BibTeX

@inproceedings{mishra2024aaai-esg,
  title     = {{ESG Accountability Made Easy: DocQA at Your Service}},
  author    = {Mishra, Lokesh and Berrospi, Cesar and Dinkla, Kasper and Antognini, Diego and Fusco, Francesco and Bothur, Benedikt and Lysak, Maksym and Livathinos, Nikolaos and Nassar, Ahmed S. and Vagenas, Panagiotis and Morin, Lucas and Auer, Christoph and Dolfi, Michele and Staar, Peter W. J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23814-23816},
  doi       = {10.1609/AAAI.V38I21.30574},
  url       = {https://mlanthology.org/aaai/2024/mishra2024aaai-esg/}
}