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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.
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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Are you sure you want to delete this access key?
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