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In this workshop, we would learn how to automatically style ( bold , Italics, etc. ) a word according to context.
We learn styling from html files automatically and apply them to raw text.
This project is used mainly to demonstrate deep-learning implementation of named-entity-recognition (NER) models.
#####Note: in case you are not using Colab
python3 -m virtualenv ner_ws
source ner_ws/bin/activate
pip3 install -r requirements.txt
style_extract.py
to generate training files from html
..zip
file in the data/
folder.style_learn.py
to train an NER model.server.py
to evaluate your model in the browser.For more details, contact me at goren.ml .
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