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Positive matches

• 0.028 + - Interdisciplinary research
• 0.024 + - Science policy
• 0.017 + - Public health policy
• 0.014 + - Edwin Thompson Jaynes
• 0.014 + - Data analysis
• 0.013 + - Pointwise mutual information
• 0.012 + - Beta distribution
• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.010 + - Text analysis
• 0.008 + - tf-idf
• 0.007 + - Graph embedding
• 0.006 + - Peer review
• 0.006 + - Bayesian inference
• 0.006 + - Frequentist inference
• 0.005 + - Scientific communication
• 0.005 + - Information Theory, Inference, and Learning Algorithms
• 0.005 + - Network geometry
• 0.005 + - Author name disambiguation
• 0.005 + - Software engineering
• 0.005 + - Machine learning

Negative matches

• 0.012 + - Word embedding
• 0.006 + - Natural language processing
• 0.003 + - StanfordNLP
• 0.002 + - Convolutional neural network
• 0.002 + - CNN
• 0.001 + - Biomedical natural language processing
• 0.001 + - scispaCy
• 0.001 + - GloVe
• 0.000 + - Residual Learning
• 0.000 + - WordRank
• 0.000 + - Vahe Tshitoyan
• 0.000 + - Leigh Weston
• 0.000 + - Differentiable neural computers
• 0.000 + - TensorFlow
• 0.000 + - Musical composition
• 0.000 + - Anubhav Jain
• 0.000 + - Neural network
• 0.000 + - John Dagdelen
• 0.000 + - Paper/Tshitoyan2019unsupervised
• 0.000 + - spaCy