simonEllershaw/Unsupervised_medical_BERT

NLP experiments comparing unsupervised and supervised BERT finetuning approaches on medical data.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 2 / 25

Maturity 9 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

Apache-2.0

Category

Last pushed

Nov 07, 2021

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/simonEllershaw/Unsupervised_medical_BERT"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

fidelity/textwiser

[AAAI 2021] TextWiser: Text Featurization Library

RandolphVI/Multi-Label-Text-Classification

About Muti-Label Text Classification Based on Neural Network.

ThilinaRajapakse/pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for...

xuyige/BERT4doc-Classification

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

allenai/scibert

A BERT model for scientific text.