File size: 1,081 Bytes
d0f3671 8c5b703 d0f3671 8c5b703 d0f3671 8c5b703 5a5dd7d 8c5b703 5a5dd7d 8c5b703 5a5dd7d 8c5b703 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
---
language: en
license: apache-2.0
tags:
- ESG
- governance
---
# Model Card for GovernanceBERT-base
## Model Description
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the GovernanceBERT-base language model. A language model that is trained to better understand governance texts in the ESG domain.
Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as a starting point, the GovernanceBERT-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
```bibtex
@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},
}
```
|