Comments (3)
Hi @JohnGiorgi.
I am currently working on a review of taxon mentions recognition tools for ecological information extraction, and I have just discovered Saber which I'd like too include as an example of state-of-the-art deep learning-based approach.
Unfortunately, it seems that the LIVB pre-trained model does not exist at the moment. Any idea when it might be available? Or should I consider training my own model?
Thank you for your help.
from saber.
Hi @nleguillarme,
Thanks for your interest. Unfortunately, we are no longer maintaining the project. I would suggest checking out AllenNLP, Transformers or ScispaCy for state-of-the-art NER. ScispaCy has pretrained models that will detect organism names (see the model trained on BIONLP13CG specifically).
from saber.
Too bad the project is dead, it seemed like a great tool.
Thanks for the pointers.
from saber.
Related Issues (20)
- Switch token alignment to SpaCy
- Splitting of training data should be model agnostic.
- Providing both k_folds and validation_split argument should work
- Loading models that don't exist should throw an error.
- Swap out time comments with decorators
- Pad sequences with something other than keras.preprocessing.text
- Update BERT based models to use new PyTorch Transformer API
- Implement mixed precision training
- Truncating should effect only the train set
- AMP only works on CUDA devices
- Drop Embeddings class
- Switch to AutoModel API
- Update to Transformers 2.0 API
- Cannot install saber (broken library dependencies) HOT 2
- Cannot evaluate model with a suggested workaround HOT 5
- Expose pretrained model performance and evaluation datasets HOT 1
- SABER not working with recent keras/tensorflow versions HOT 1
- reproduce a score HOT 2
- Error with sb.load('PRGE') HOT 1
- Tensorflow error while the container running HOT 1
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from saber.