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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.
Colab Notebooks
directory.If you are using Colab for the first time, open Colab and save one of the example notebooks. The notebook will be saved to Colab Notebooks
directory.nlp_ner_workshop
folder is located in your Colab Notebooks
folder.Due to Google Drive quota issues make sure not to unzip the data file.GOOGLE_COLAB
to True
, and run all to test it.Runtime type
to Python 3
and set the Hardware accelerator
to GPU
. Both located in Runtime=>Change runtime type.python3 -m virtualenv ner_ws
source ner_ws/bin/activate
pip3 install -r requirements.txt
.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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