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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- ESG |
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- governance |
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--- |
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# Model Card for GovernanceBERT-base |
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## Model Description |
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Based on [this paper](https://www.sciencedirect.com/science/article/pii/S1544612324000096), this is the GovernanceBERT-base language model. A language model that is trained to better understand governance texts in the ESG domain. |
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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. |
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## More details can be found in the paper |
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```bibtex |
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@article{schimanski_ESGBERT_2024, |
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title = {Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication}, |
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journal = {Finance Research Letters}, |
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volume = {61}, |
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pages = {104979}, |
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year = {2024}, |
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issn = {1544-6123}, |
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doi = {https://doi.org/10.1016/j.frl.2024.104979}, |
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url = {https://www.sciencedirect.com/science/article/pii/S1544612324000096}, |
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author = {Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold}, |
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} |
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``` |
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