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README.md

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Named-Entity-Recognition Workshop

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.

Usage

  1. Run style_extract.py to generate training files from html.
  2. Put the .zip file in the data/ folder.
  3. Run style_learn.py to train an NER model.
  4. Run server.py to evaluate your model in the browser.

For more details, contact me at goren.ml .

Tip!

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