转载自：AINLP
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（百度云 提取码：b5qq）
- 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(计算语言学协会). ACL
- Empirical Methods in Natural Language Processing. EMNLP
- International Conference on Computational Linguistics. COLING
- Neural Information Processing Systems(神经信息处理系统会议). NIPS
- AAAI Conference on Artificial Intelligence. AAAI
- International Joint Conferences on AI. IJCAI
- International Conference on Machine Learning(国际机器学习大会). ICML
