| --- |
| language: en |
| license: apache-2.0 |
| tags: |
| - ESG |
| - environmental |
| --- |
| |
| # Model Card for EnvRoBERTa-base |
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| ## Model Description |
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| This is the EnvRoBERTa-base language model. A language model that is trained to better understand environmental texts in the ESG domain. |
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| Using the [RoBERTa](https://huggingface.co/roberta-base) model as a starting point, the EnvRoBERTa-base Language Model is additionally pre-trained on a text corpus comprising environmental-related annual reports, sustainability reports, and corporate and general news. |
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| 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} |
| } |
| ``` |
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