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  • awesome-machine-learning
  • machine learning and deep learning tutorials, articles and other resources
  • Neural Turing Machine(NMT)
  • Awesome Reinforcement Learning
  • Bag of Tricks for Efficient Text Classification.(FastText)
  • Semi-supervised Question Retrieval with Gated Convolutions. NAACL 2016
  • Neural Turing Machine(NMT)
  • Convolutional Neural Networks for Sentence Classification (kIM.EMNLP2014)
  • End-To-End Memory Network
  • Awesome Recurrent Neural Networks
  • Convolutional Neural Networks for Sentence Classification (kIM.EMNLP2014)
  • The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems.
  • Neural Variational Inference for Text Processing - --[wikiQA Corpus]()
  • A statistical natural language generator for spoken dialogue systems(SIGDIAL 2016 short paper)
  • Neural Turing Machine(NMT)
  • Neural Turing Machine(NMT)
  • Word2Vec
  • Teaching Machines to Read and Comprehend
  • Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks(Tree-LSTM)
  • A Fast Unified Model for Sentence Parsing and Understanding(Stack-augmented Parser-Interpreter Neural Network)
  • Character-Aware Neural Language Models (AAAI 2016).
  • Sequence-to-sequence model with LSTM encoder/decoders and attention
  • Separating Answers from Queries for Neural Reading Comprehension
  • Neural Associative Memory for Dual-Sequence Modeling
  • Memory Networks
  • Key-Value Memory Networks for Directly Reading Documents
  • End-To-End Memory Network
  • Neural Turing Machine(NMT)
  • A Neural Attention Model for Abstractive Summarization.
  • Bag of Tricks for Efficient Text Classification.(FastText)
  • A Recurrent Latent Variable Model for Sequential Data
  • character-level language models
  • context2vec: Learning Generic Context Embedding with Bidirectional LSTM
  • Deep Unordered Composition Rivals Syntactic Methods for Text Classification(Deep Averaging Networks ACL2015)
  • Neural GPUs Learn Algorithms
  • A Neural Attention Model for Abstractive Summarization
  • Recurrent Convolutional Memory Network
  • CNN code for insurance QA(question Answer matching) - --[InsuranceQA Corpus](https://github.com/shuzi/insuranceQA)
  • Some experiments on MovieQA with Hsieh,Tom and Huang in AMLDS
  • End-To-End Memory Networks, formerly known as Weakly Supervised Memory Networks
  • Memory Networks
  • Dynamic Memory Networks
  • Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  • Recurrent Neural Networks with External Memory for Language Understanding
  • Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" - --[ CNN and Daily Mail news data QA]()
  • Hierarchical Encoder-Decoder
  • Tree RNNs
  • A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation(ACL2016)
  • Charagram: Embedding Words and Sentences via Character n-grams
  • Towards Universal Paraphrastic Sentence Embeddings
  • Dependency-based Convolutional Neural Networks for Sentence Embedding
  • Siamese-LSTM - Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.（AAAI2016））
  • Learning text representation using recurrent convolutional neural network with highway layers
  • Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
  • Recurrent Memory Network for Language Modeling
  • Text Understanding with the Attention Sum Reader Network, Kadlec et al., ACL 2016.
  • When Are Tree Structures Necessary for Deep Learning of Representations
  • Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  • 【论文:深度学习NLP的可视化理解】《Visualizing and Understanding Neural Models in NLP》J Li, X Chen, E Hovy, D Jurafsky (2015)
  • Links to the implementations of neural conversational models for different frameworks(seq2seq chatbot links)
  • Awesome Tensorflow Implementations