I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
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Create Non-Convex Optimization in Machine Learning - a few things to learn.md
a8d461dView on GitHubCreate Dynamic Meta-Embeddings for Improved Sentence Representations.md
72155fcView on GitHubUpdate Cross-Sentence N-ary Relation Extraction with Graph LSTMs.md
5eaeb75View on GitHubUpdate Modeling Relation Paths for Representation Learning of Knowledge Bases.md
cc6310eView on GitHubUpdate Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks.md
aa42cfaView on GitHubUpdate Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations.md
77a3ca8View on GitHubUpdate Neutral Relation Extraction with Selective Attention over Instances.md
4077b0fView on GitHubCreate Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations.md
77c0f57View on GitHub