mindspore-nlp-tutorial

mindspore-nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using MindSpore. This repository is migrated from nlp-tutorial. Most of the models in NLP were migrated from Pytorch version with less than 100 lines of code.(except comments or blank lines)

Notice: All models are tested on CPU(Linux and macOS), GPU and Ascend.

Curriculum - (Example Purpose)

1. Basic Embedding Model

1-1. NNLM(Neural Network Language Model) - Predict Next Word
- Paper - A Neural Probabilistic Language Model(2003)
1-2. Word2Vec(Skip-gram) - Embedding Words and Show Graph
- Paper - Distributed Representations of Words and Phrases and their Compositionality(2013)

2. CNN(Convolutional Neural Network)

2-1. TextCNN - Binary Sentiment Classification
- Paper - Convolutional Neural Networks for Sentence Classification(2014)

3. RNN(Recurrent Neural Network)

3-1. TextRNN - Predict Next Step
- Paper - Finding Structure in Time(1990)
3-2. TextLSTM - Autocomplete
- Paper - LONG SHORT-TERM MEMORY(1997)
3-3. Bi-LSTM - Predict Next Word in Long Sentence

4. Attention Mechanism

4-1. Seq2Seq - Change Word
- Paper - Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation(2014)
4-2. Seq2Seq with Attention - Translate
- Paper - Neural Machine Translation by Jointly Learning to Align and Translate(2014)
4-3. Bi-LSTM with Attention - Binary Sentiment Classification

5. Model based on Transformer

5-1. The Transformer - Translate
- Paper - Attention Is All You Need(2017)
5-2. BERT - Classification Next Sentence & Predict Masked Tokens
- Paper - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding(2018)

Dependencies

Python >= 3.7.5
MindSpore 1.8.1
Pytorch 1.7.1(for comparation)

Author

Yufeng Lyu
Author Email : lvyufeng2007@hotmail.com
Acknowledgements to graykode who opensource the Pytorch and Tensorflow version.

TIANYUZHOU/mindspore-nlp-tutorial