Commit
•
2faf3e2
1
Parent(s):
1998029
Update README.md
Browse files
README.md
CHANGED
|
@@ -19,7 +19,7 @@ metrics:
|
|
| 19 |
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
|
| 20 |
RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the [RoBERTa](https://arxiv.org/abs/1907.11692) large model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
|
| 21 |
|
| 22 |
-
Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-
|
| 23 |
|
| 24 |
## Dataset
|
| 25 |
The dataset used is the one from the [CAPITEL competition at IberLEF 2020](https://sites.google.com/view/capitel2020) (sub-task 1).
|
|
|
|
| 19 |
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
|
| 20 |
RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the [RoBERTa](https://arxiv.org/abs/1907.11692) large model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
|
| 21 |
|
| 22 |
+
Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne
|
| 23 |
|
| 24 |
## Dataset
|
| 25 |
The dataset used is the one from the [CAPITEL competition at IberLEF 2020](https://sites.google.com/view/capitel2020) (sub-task 1).
|