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About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)

DeepNLP-models-MindSpore

The Reproduction of Open Source Code Based on DSKSD

This material is not perfect but will help your study and research:) Please feel free to pull requests!!

Contents

Model Links
01. Skip-gram-Naive-Softmax [notebook / data / paper]
02. Skip-gram-Negative-Sampling [notebook / data / paper]
03. GloVe [notebook / data / paper]
04. Window-Classifier-for-NER [notebook / data / paper]
05. Neural-Dependancy-Parser [notebook / data / paper]
06. RNN-Language-Model [notebook / data / paper]
07. Neural-Machine-Translation-with-Attention [notebook / data / paper]
08. CNN-for-Text-Classification [notebook / data / paper]
09. Recursive-NN-for-Sentiment-Classification [notebook / data / paper]
10. Dynamic-Memory-Network-for-Question-Answering [notebook / data / paper]

Requirements

  • Python 3.7
  • MindSpore 2.0
  • nltk 3.2.2
  • gensim 2.2.0
  • sklearn_crfsuite

Getting started

git clone https://github.com/mindspore-courses/DeepNLP-models-MindSpore.git

prepare dataset

cd script
chmod u+x prepare_dataset.sh
./prepare_dataset.sh

Author

Sungdong Kim / @FLoutione

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verified publisher icon mindspore-courses

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About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)

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