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Positive matches

• 0.055 + - Graph embedding
• 0.046 + - Interdisciplinary research
• 0.030 + - Science policy
• 0.028 + - Lexical feature selection
• 0.023 + - Natural language processing
• 0.017 + - Public health policy
• 0.017 + - Probability theory
• 0.012 + - Machine learning
• 0.011 + - Literary allusions in science
• 0.011 + - Paper/MacKay1991
• 0.009 + - How to study
• 0.008 + - Continuous embedding
• 0.008 + - Network science
• 0.008 + - Michael Ramscar
• 0.007 + - Jeannette M. Wing
• 0.007 + - Teaching
• 0.007 + - Gender
• 0.007 + - Community structure
• 0.006 + - Collaborative software
• 0.006 + - GloVe

Negative matches

• 0.012 + - Language
• 0.002 + - Amazon EC2
• 0.002 + - Archetype
• 0.002 + - Residual leanrning
• 0.001 + - Attention
• 0.001 + - Q-learning
• 0.001 + - Deep generative models
• 0.001 + - Beer
• 0.001 + - Deep learning and graphs
• 0.001 + - Artificial neural network
• 0.001 + - GraphLab
• 0.001 + - Yann LeCun
• 0.001 + - Meta learning
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Sentiment analysis
• 0.001 + - Long short-term memory
• 0.001 + - Neural doodle
• 0.001 + - Generative adversarial networks
• 0.001 + - Brain and deep learning
• 0.001 + - Geoffrey Hinton