【Github】nlp-journey: NLP相关代码、书目、论文、博文、算法、项目资源链接

zenRRan

发布于 2019-07-16 16:46:24

5950

发布于 2019-07-16 16:46:24

文章被收录于专栏：深度学习自然语言处理深度学习自然语言处理

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.