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Positive matches

• 0.025 + - Probability theory
• 0.025 + - Science policy
• 0.022 + - Migration
• 0.019 + - Probability
• 0.019 + - Interdisciplinary research
• 0.017 + - Opioid crisis
• 0.017 + - Paper/Nielsen2017
• 0.016 + - Industry-Academic Partnership
• 0.015 + - Data analysis
• 0.013 + - Pointwise mutual information
• 0.010 + - Software engineering in research
• 0.010 + - Sure Thing hypothesis
• 0.009 + - Text analysis
• 0.008 + - tf-idf
• 0.007 + - Graph embedding
• 0.005 + - Machine learning
• 0.005 + - Network geometry
• 0.005 + - Scientific communication
• 0.005 + - David Feldman
• 0.005 + - Cross entropy

Negative matches

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