Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ tags:
|
|
| 13 |
|
| 14 |
## Model Description
|
| 15 |
|
| 16 |
-
As an extension to [this paper](https://
|
| 17 |
|
| 18 |
Using the [EnvironmentalBERT-base](https://huggingface.co/ESGBERT/EnvironmentalBERT-base) model as a starting point, the EnvironmentalBERT-action Language Model is additionally fine-trained on a dataset with 500 sentences to detect action text samples. The underlying dataset is comparatively small, so if you would like to contribute to it, feel free to reach out. :)
|
| 19 |
|
|
@@ -45,10 +45,15 @@ print(pipe("We are actively working to reduce our CO2 emissions by planting tree
|
|
| 45 |
While this dataset does not originate from the paper, it is a extension of it and the base models are described in it.
|
| 46 |
|
| 47 |
```bibtex
|
| 48 |
-
@article{
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 53 |
}
|
| 54 |
```
|
|
|
|
| 13 |
|
| 14 |
## Model Description
|
| 15 |
|
| 16 |
+
As an extension to [this paper](https://www.sciencedirect.com/science/article/pii/S1544612324000096), this is the EnvironmentalBERT-action language model. A language model that is trained to better classify action texts in the ESG domain.
|
| 17 |
|
| 18 |
Using the [EnvironmentalBERT-base](https://huggingface.co/ESGBERT/EnvironmentalBERT-base) model as a starting point, the EnvironmentalBERT-action Language Model is additionally fine-trained on a dataset with 500 sentences to detect action text samples. The underlying dataset is comparatively small, so if you would like to contribute to it, feel free to reach out. :)
|
| 19 |
|
|
|
|
| 45 |
While this dataset does not originate from the paper, it is a extension of it and the base models are described in it.
|
| 46 |
|
| 47 |
```bibtex
|
| 48 |
+
@article{schimanski_ESGBERT_2024,
|
| 49 |
+
title = {Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication},
|
| 50 |
+
journal = {Finance Research Letters},
|
| 51 |
+
volume = {61},
|
| 52 |
+
pages = {104979},
|
| 53 |
+
year = {2024},
|
| 54 |
+
issn = {1544-6123},
|
| 55 |
+
doi = {https://doi.org/10.1016/j.frl.2024.104979},
|
| 56 |
+
url = {https://www.sciencedirect.com/science/article/pii/S1544612324000096},
|
| 57 |
+
author = {Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold},
|
| 58 |
}
|
| 59 |
```
|