经典书目(百度云 提取码：b5qq)
- Deep Learning.深度学习必读.
原书地址 - 斯坦福大学《语音与语言处理》第三版：NLP必读.
原书地址 - Neural Networks and Deep Learning. 入门必读.
原书地址 - 复旦大学《神经网络与深度学习》邱锡鹏教授.
原书地址 - CS224d: Deep Learning for Natural Language Processing.
课件地址
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.
地址 - A Neural Probabilistic Language Model.
地址 - Transformer.
地址 - Transformer-XL.
地址 - Convolutional Neural Networks for Sentence Classification.
地址 - Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
地址 - A Question-Focused Multi-Factor Attention Network for Question Answering.
地址 - AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
地址 - GloVe: Global Vectors for Word Representation.
官网 - A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation.
地址 - The Design and Implementation of XiaoIce, an Empathetic Social Chatbot.
地址 - A Knowledge-Grounded Neural Conversation Model.
地址 - Neural Generative Question Answering.
地址 - A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification.
地址 - ImageNet Classification with Deep Convolutional Neural Networks.
地址 - Network In Network.
地址,翻译 - Long Short-term Memory.
地址 - Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation.
地址 - Get To The Point: Summarization with Pointer-Generator Networks.
地址 - Generative Adversarial Text to Image Synthesis.
地址 - Image-to-Image Translation with Conditional Adversarial Networks.
地址 - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
地址 - Unsupervised Learning of Visual Structure using Predictive Generative Networks.
地址 - Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks.
地址 - Event Extraction via Dynamic Multi-Pooling Convolutional Neural.
地址 - Low-Memory Neural Network Training:A Technical Report.
地址 - Language Models are Unsupervised Multitask Learners.
地址 - Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.
地址 - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
地址 - SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
地址
- The Illustrated Transformer.
博文 - Attention-based-model.
地址 - KL divergence.
地址 - Building Autoencoders in Keras.
地址 - Modern Deep Learning Techniques Applied to Natural Language Processing.
地址 - Node2vec embeddings for graph data.
地址 - Bert解读.
地址地址 - 难以置信！LSTM和GRU的解析从未如此清晰（动图+视频）。
地址
- fasttext(skipgram+cbow)
- gensim(word2vec)
- eda
- svm
- fasttext
- textcnn
- bilstm+attention
- rcnn
- han
- bilstm+crf
- siamese
- keras-gpt-2.
地址 - textClassifier.
地址 - attention-is-all-you-need-keras.
地址 - BERT_with_keras.
地址 - SeqGAN.
地址
- 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