metadata
language: en
license: apache-2.0
datasets:
- ESGBERT/governance_data
tags:
- ESG
- governance
Model Card for GovRoBERTa-base
Model Description
Based on this paper, this is the GovRoBERTa-base language model. A language model that is trained to better understand governance texts in the ESG domain.
Note: We generally recommend choosing the GovernanceBERT-base model since it is quicker, less resource-intensive and only marginally worse in performance.
Using the RoBERTa model as a starting point, the GovRoBERTa-base Language Model is additionally pre-trained on a text corpus comprising governance-related annual reports, sustainability reports, and corporate and general news.
More details can be found in the paper
@article{Schimanski23ESGBERT,
title={{Bridiging the Gap in ESG Measurement: Using NLP to Quantify Environmental, Social, and Governance Communication}},
author={Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold},
year={2023},
journal={Available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514},
}