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A Personal repository for common deep-learning models in different nlp tasks
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dependency_parser
ner_rnn
ner_window
word2vec
.gitignore
README.md

README.md

NLP Deep Learning models

This repository is a personal reference for common deep learning models customized for nature languages processing.
Implementations is based on starter code provided by standford cs224n course assignments.

Models

  • word2vec (numpy implementation)
  • dependency parser (tensorflow implementation)
  • Named Entity Recognition, window-based model (tensorflow implementation)
  • Named Entity Recognition, RNN model (tensorflow implementation)
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