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Positive matches

• 0.045 + - Natural language processing
• 0.044 + - Graph embedding
• 0.023 + - Word embedding
• 0.017 + - Opioid crisis
• 0.016 + - Probability distribution
• 0.013 + - Research funding
• 0.011 + - Paper/MacKay1991
• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.011 + - Information theory
• 0.010 + - Industry-Academic Partnership
• 0.007 + - NLP
• 0.006 + - Edwin Thompson Jaynes
• 0.006 + - Stochastic process
• 0.005 + - Scientific communication
• 0.004 + - Software engineering in research
• 0.004 + - Biomedical natural language processing
• 0.004 + - Peer review
• 0.004 + - TeX
• 0.003 + - Scientific publication
• 0.003 + - Computational social science

Negative matches

• 0.012 + - Residual leanrning
• 0.007 + - Paper/Gatys2015
• 0.006 + - Deep learning
• 0.005 + - Residual Learning
• 0.003 + - CNN
• 0.002 + - Deep generative models
• 0.002 + - Machine learning
• 0.002 + - Artificial neural network
• 0.001 + - Generative adversarial networks
• 0.001 + - Meta learning
• 0.001 + - Theano
• 0.000 + - Attention (Deep learning)
• 0.000 + - Keras
• 0.000 + - Learning
• 0.000 + - Neural doodle
• 0.000 + - Tomas Mikolov
• 0.000 + - Cecilia Mascolo
• 0.000 + - BERT
• 0.000 + - fastText
• 0.000 + - Kyunghyun Cho