@inproceedings{santacroce-etal-2026-clariesg,
title = "{CLARIESG}: An End-to-End System for {ESG} Analysis over Complex Tables in Corporate Reports",
author = "Santacroce, Marta and
Contalbo, Michele Luca and
Pederzoli, Sara and
Benassi, Riccardo and
Valeria, Venturelli and
Paganelli, Matteo and
Guerra, Francesco",
editor = "Croce, Danilo and
Leidner, Jochen and
Moosavi, Nafise Sadat",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
month = mar,
year = "2026",
address = "Rabat, Marocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-demo.7/",
pages = "86--100",
ISBN = "979-8-89176-382-1",
abstract = "Sustainability reports contain rich Environmental, Social and Governance (ESG) information, but their heterogeneous layouts and complex multi-table structures pose major challenges for LLMs, especially for unit normalization, cross-document reasoning, and precise numerical computation. We present CLARIESG, an end-to-end system that couples robust table extraction with a structured prompting framework for multi-table filtering, normalization, and program-of-thought reasoning. On ESG-focused multi-table benchmarks, CLARIESG consistently outperforms standard prompting and provides transparent, auditable reasoning, supporting more reliable ESG analysis and greenwashing detection in real-world settings."
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%0 Conference Proceedings
%T CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports
%A Santacroce, Marta
%A Contalbo, Michele Luca
%A Pederzoli, Sara
%A Benassi, Riccardo
%A Valeria, Venturelli
%A Paganelli, Matteo
%A Guerra, Francesco
%Y Croce, Danilo
%Y Leidner, Jochen
%Y Moosavi, Nafise Sadat
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Marocco
%@ 979-8-89176-382-1
%F santacroce-etal-2026-clariesg
%X Sustainability reports contain rich Environmental, Social and Governance (ESG) information, but their heterogeneous layouts and complex multi-table structures pose major challenges for LLMs, especially for unit normalization, cross-document reasoning, and precise numerical computation. We present CLARIESG, an end-to-end system that couples robust table extraction with a structured prompting framework for multi-table filtering, normalization, and program-of-thought reasoning. On ESG-focused multi-table benchmarks, CLARIESG consistently outperforms standard prompting and provides transparent, auditable reasoning, supporting more reliable ESG analysis and greenwashing detection in real-world settings.
%U https://aclanthology.org/2026.eacl-demo.7/
%P 86-100
Markdown (Informal)
[CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports](https://aclanthology.org/2026.eacl-demo.7/) (Santacroce et al., EACL 2026)
ACL
- Marta Santacroce, Michele Luca Contalbo, Sara Pederzoli, Riccardo Benassi, Venturelli Valeria, Matteo Paganelli, and Francesco Guerra. 2026. CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 86–100, Rabat, Marocco. Association for Computational Linguistics.