深度学习自然语言处理模型实现大集合(精简版<100行)

深度学习自然语言处理模型实现大集合(精简版<100行)

本资源整理了现有常见NLP深度学习模型,借鉴相关TensorFlow和Pytorch代码实现相关的模型代码,对绝大多数NLP模型进行精简,多数模型都是用不到100行代码实现的,(注释或空行除外)。


从NLP中的第一个语言模型NNLM开始,逐步包括RNN,LSTM,TextCNN,Word2Vec等经典模型。帮助读者更轻松地学习NLP模型,实现和训练各种seq2seq,attention注意力模型,bi-LSTM attenton,Transformer(self-attention)到BERT模型等等。


1. Embedding 语言Model

•1-1. NNLM(Neural Network Language Model) - Predict Next Word

oPaper - A Neural Probabilistic Language Model(2003)

oColab - NNLM_Tensor.ipynb, NNLM_Torch.ipynb

•1-2. Word2Vec(Skip-gram) - Embedding Words and Show Graph

oPaper - Distributed Representations of Words and Phrases and their Compositionality(2013)

oColab - Word2Vec_Tensor(NCE_loss).ipynb, Word2Vec_Tensor(Softmax).ipynb, Word2Vec_Torch(Softmax).ipynb

•1-3. FastText(Application Level) - Sentence Classification

oPaper - Bag of Tricks for Efficient Text Classification(2016)

oColab - FastText.ipynb


2. CNN(Convolutional Neural Network)

•2-1. TextCNN - Binary Sentiment Classification

oPaper - Convolutional Neural Networks for Sentence Classification(2014)

oColab - TextCNN_Tensor.ipynb, TextCNN_Torch.ipynb

•2-2. DCNN(Dynamic Convolutional Neural Network)


3. RNN(Recurrent Neural Network)

•3-1. TextRNN - Predict Next Step

oPaper - Finding Structure in Time(1990)

oColab - TextRNN_Tensor.ipynb, TextRNN_Torch.ipynb

•3-2. TextLSTM - Autocomplete

oPaper - LONG SHORT-TERM MEMORY(1997)

oColab - TextLSTM_Tensor.ipynb, TextLSTM_Torch.ipynb

•3-3. Bi-LSTM - Predict Next Word in Long Sentence

oColab - Bi_LSTM_Tensor.ipynb, Bi_LSTM_Torch.ipynb


4. Attention Mechanism

•4-1. Seq2Seq - Change Word

oPaper - Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation(2014)

oColab - Seq2Seq_Tensor.ipynb, Seq2Seq_Torch.ipynb

•4-2. Seq2Seq with Attention - Translate

oPaper - Neural Machine Translation by Jointly Learning to Align and Translate(2014)

oColab - Seq2Seq(Attention)_Tensor.ipynb, Seq2Seq(Attention)_Torch.ipynb

•4-3. Bi-LSTM with Attention - Binary Sentiment Classification

oColab - Bi_LSTM(Attention)_Tensor.ipynb, Bi_LSTM(Attention)_Torch.ipynb


5. Model based on Transformer

•5-1. The Transformer - Translate

oPaper - Attention Is All You Need(2017)

oColab - Transformer_Torch.ipynb, Transformer(Greedy_decoder)_Torch.ipynb

•5-2. BERT - Classification Next Sentence & Predict Masked Tokens

oPaper - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding(2018)

oColab - BERT_Torch.ipynb

深度学习自然语言处理模型实现大集合(精简版<100行)

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