nlp-models

This nlp-models project is a tutorial for who is studying NLP(Natural Language Processing) using TensorFlow , Pytorch and keras , most of the models in NLP were implemented with less than 200 lines of code.

Catalog

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)
• 1-3. FastText(Application Level) - Sentence Classification
  • Paper - Bag of Tricks for Efficient Text Classification(2016)

2. CNN(Convolutional Neural Network)

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

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)

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Table presentation

Model	Example	Framework
NNLM	Predict Next Word	Torch, Tensor
Word2Vec(Softmax)	Embedding Words and Show Graph	Torch, Tensor
TextCNN	Sentence Classification	Torch, Tensor
TextRNN	Predict Next Step	Torch, Tensor
TextLSTM	Autocomplete	Torch, Tensor
Bi-LSTM	Predict Next Word in Long Sentence	Torch, Tensor
Seq2Seq	Change Word	Torch, Tensor
Seq2Seq with Attention	Translate	Torch, Tensor
Bi-LSTM with Attention	Binary Sentiment Classification	Torch, Tensor
Transformer	Translate	Torch
Greedy Decoder Transformer	Translate	Torch
BERT	how to train	Torch

Dependencies

• Python 3.5+
• Tensorflow 1.12.0+
• Pytorch 0.4.1+

To do:

• Add some new model
• Add keras version
• Adding more English annotations
• Enriching training examples
• Adding larger data sets to measure model effectiveness

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Contact Email : [email protected]