Github：NLP相关代码、书目、论文、博文、算法、项目资源（附链接）

来源：AINLP

本文多资源，建议阅读6分钟。

本文为你推荐Github上一个NLP相关的项目：msgi/nlp-journey。

推荐Github上一个NLP相关的项目：

msgi/nlp-journey

项目地址，阅读原文可以直达，欢迎参与和Star：https://github.com/msgi/nlp-journey

这个项目的作者是AINLP交流群里的慢时光同学，该项目收集了NLP相关的一些代码, 包括词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成、文本相似性(Text Similarity)计算等，基于keras和tensorflow，也收集了相关的书目、论文、博文、算法、项目资源链接，并且很细致的做了分类。

以下来自该项目介绍页，点击阅读原文可以直达相关资源链接。

基础算法

• 基础知识

• 常见问题

• 实践笔记

经典书目

• Deep Learning 深度学习必读

• 斯坦福大学《语音与语言处理》第三版：NLP必读

• Neural Networks and Deep Learning 入门必读

• 复旦大学《神经网络与深度学习》邱锡鹏教授

• CS224d: Deep Learning for Natural Language Processing

必读论文

• EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

• A Neural Probabilistic Language Model

• Transformer

• Transformer-XL

• Convolutional Neural Networks for Sentence Classification

• Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

• A Question-Focused Multi-Factor Attention Network for Question Answering

• AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

• GloVe: Global Vectors for Word Representation

• A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

• The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

• A Knowledge-Grounded Neural Conversation Model

• Neural Generative Question Answering

• A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification

• ImageNet Classification with Deep Convolutional Neural Networks

• Network In Network

• Long Short-term Memory

• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

• Get To The Point: Summarization with Pointer-Generator Networks

• Generative Adversarial Text to Image Synthesis

• Image-to-Image Translation with Conditional Adversarial Networks

• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

• Unsupervised Learning of Visual Structure using Predictive Generative Networks

• Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

• Event Extraction via Dynamic Multi-Pooling Convolutional Neural

• Low-Memory Neural Network Training:A Technical Report

• Language Models are Unsupervised Multitask Learners

• Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

• SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

  
  

必读博文

• The Illustrated Transformer

• Attention-based-model

• KL divergence

• Building Autoencoders in Keras

• Modern Deep Learning Techniques Applied to Natural Language Processing

• Node2vec embeddings for graph data

• Bert解读

• 难以置信！LSTM和GRU的解析从未如此清晰（动图+视频）

  
  

已实现算法

•  构建词向量

•  fasttext(skipgram+cbow)

•  gensim(word2vec)

•  数据增强

•  eda

•  分类算法

•  svm

•  fasttext

•  textcnn

•  bilstm+attention

•  rcnn

•  han

•  NER

•  bilstm+crf

•  文本相似度

•  siamese

相关github项目

• keras-gpt-2

• textClassifier

• attention-is-all-you-need-keras

• BERT_with_keras

• SeqGAN

相关博客

• 莫坠青云志

• 彗双智能-Keras源码分析

• 机器之心

• colah

• ZHPMATRIX

• wildml

• 徐阿衡

• 零基础入门深度学习

相关会议

• Association of Computational Linguistics(ACL). 计算语言学协会

• Empirical Methods in Natural Language Processing(EMNLP)

• International Conference on Computational Linguistics(COLING)

• Neural Information Processing Systems(NIPS). 神经信息处理系统会议

• AAAI Conference on Artificial Intelligence(AAAI)

• International Joint Conferences on AI(IJCAI)

• International Conference on Machine Learning(ICML). 国际机器学习大会

编辑：文婧

校对：龚力