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Positive matches

• 0.025 + - Probability theory
• 0.025 + - Natural language processing
• 0.024 + - Policy
• 0.023 + - Network geometry
• 0.020 + - Industry-Academic Partnership
• 0.019 + - Probability
• 0.016 + - Continuous embedding
• 0.012 + - Research funding
• 0.012 + - Software engineering in research
• 0.011 + - Communication
• 0.009 + - Paper
• 0.008 + - PyTorch-BigGraph
• 0.008 + - GraphSAGE
• 0.006 + - GloVe
• 0.006 + - word2vec
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.005 + - StanfordNLP
• 0.005 + - Collaborative software
• 0.005 + - NLP
• 0.004 + - Research advices

Negative matches

• 0.022 + - Lexical feature selection
• 0.004 + - Kullback–Leibler divergence
• 0.004 + - Machine learning
• 0.004 + - Cross entropy
• 0.004 + - Pointwise mutual information
• 0.004 + - Gibbs' inequality
• 0.004 + - David Feldman
• 0.004 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Text analysis
• 0.001 + - Class imbalance
• 0.001 + - Automated machine learning
• 0.001 + - Future of work
• 0.001 + - Class imbalance problem
• 0.001 + - scikit-learn
• 0.001 + - Recommender system
• 0.000 + - Gradient descent
• 0.000 + - Regular expression
• 0.000 + - Social network
• 0.000 + - Pathogen transmission
• 0.000 + - PyTorch