Your Journey to NLP Starts Here !
经典书目(百度云
提取码:b5qq)
- 算法的乐趣.
原书地址
- LSTM(Long Short-term Memory).
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- Dropout(Improving neural networks by preventing co-adaptation of feature detectors).
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- Residual Network(Deep Residual Learning for Image Recognition).
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- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
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- Analysis Methods in Neural Language Processing: A Survey.
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- Neural Text Generation: Past, Present and Beyond.
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- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.
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- Efficient Estimation of Word Representations in Vector Space.
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- Distributed Representations of Sentences and Documents.
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- Enriching Word Vectors with Subword Information.
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.解读
- GloVe: Global Vectors for Word Representation.
官网
- ELMo (Deep contextualized word representations).
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- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
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- Pre-Training with Whole Word Masking for Chinese BERT.
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- XLNet: Generalized Autoregressive Pretraining for Language Understanding
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- A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification.
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- Convolutional Neural Networks for Sentence Classification.
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- Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
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- A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation.
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- SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
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- Generative Adversarial Text to Image Synthesis.
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- Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks.
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- Learning Text Similarity with Siamese Recurrent Networks.
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- A Deep Architecture for Matching Short Texts.
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- A Question-Focused Multi-Factor Attention Network for Question Answering.
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- The Design and Implementation of XiaoIce, an Empathetic Social Chatbot.
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- A Knowledge-Grounded Neural Conversation Model.
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- Neural Generative Question Answering.
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- Sequential Matching Network A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots.
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- Modeling Multi-turn Conversation with Deep Utterance Aggregation.
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- Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network.
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- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation.
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- Transformer (Attention Is All You Need).
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- Transformer-XL:Attentive Language Models Beyond a Fixed-Length Context.
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- Get To The Point: Summarization with Pointer-Generator Networks.
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- Event Extraction via Dynamic Multi-Pooling Convolutional Neural.
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- Behavior Sequence Transformer for E-commerce Recommendation in Alibaba.
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- The Illustrated Transformer.
博文
- Attention-based-model.
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- KL divergence.
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- Building Autoencoders in Keras.
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- Modern Deep Learning Techniques Applied to Natural Language Processing.
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- Node2vec embeddings for graph data.
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- Bert解读.
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- XLNet:运行机制及和Bert的异同比较.
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- 难以置信!LSTM和GRU的解析从未如此清晰(动图+视频)。
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- fasttext(skipgram+cbow)
- gensim(word2vec)
- eda
- svm
- fasttext
- textcnn
- bilstm+attention
- rcnn
- han
- bert
- bilstm+crf
- siamese
- keras-gpt-2.
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- textClassifier.
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- attention-is-all-you-need-keras.
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- BERT_with_keras.
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- keras-bert.
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- ELMo-keras.
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- SeqGAN.
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- 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