projecte-aina/multiner_ceil
Catalan BERTa (RoBERTa-large) finetuned for Named Entity Recognition.
Table of Contents
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- Model description
- Intended uses and limitations
- How to Use
- Training
- Training data
- Training procedure
- Evaluation
- Variable and metrics
- Evaluation results
- Additional information
- Author
- Contact information
- Copyright
- Licensing information
- Funding
- Citing information
- Disclaimer) </details>
Model description
The multiner is a Named Entity Recognition (NER) model for the Catalan language fine-tuned from the [BERTa] model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
It has been trained with a dataset that contains 9 main types and 52 subtypes on all kinds of short texts, with almost 59K documents.
Intended uses and limitations
How to use
from transformers import pipeline
pipe = pipeline("ner", model="projecte-aina/multiner_ceil")
example = "George Smith Patton fué un general del Ejército de los Estados Unidos en Europa durante la Segunda Guerra Mundial. "
ner_entity_results = pipe(example, aggregation_strategy="simple")
print(ner_entity_results)
Limitations and bias
At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
Training
We used the NERC dataset in Catalan called Catalan Entity Identification and Linking for training and evaluation.
Evaluation
Accuracy was calculated using the development set, and reflects the non-balanced nature of the dataset.
Major types
*: Cultural Work
Subtypes
Additional information
Author
Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center (langtech@bsc.es)
Contact information
For further information, send an email to langtech@bsc.es
Copyright
Copyright (c) 2023 Language Technologies Unit (LangTech) at Barcelona Supercomputing Center
Licensing Information
Funding
This work/research has been promoted and financed by the Government of Catalonia through the Aina project.
Citation information
Disclaimer
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The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions.
When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
In no event shall the owner and creator of the models (BSC – Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties of these models.