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Papers

• Efficient Estimation of Word Representations in Vector Space
• word2vec Explained: Deriving Mikolov et al.'s Negative-Sampling Word-Embedding Method
• Lecture Notes: Part II: Word Vectors II: GloVe, Evaluation and Training
• Lecture Notes: Part III: Neural Networks, Backpropagation
• Lecture Notes: Part IV: Dependency Parsing
• Lecture Notes: Part V: Language Models, RNN, GRU and LSTM
• A Fast and Accurate Dependency Parser using Neural Networks
• GloVe: Global Vectors forWord Representation
• Computing Neural Network Gradients
• CS234 Notes - Lecture 1: Introduction to Reinforcement Learning
• Distributed Representations of Words and Phrases and their Compositionality