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Positive matches

• 0.065 + - Network geometry
• 0.038 + - Interdisciplinary research
• 0.029 + - Continuous embedding
• 0.027 + - Natural language processing
• 0.027 + - Industry-Academic Partnership
• 0.024 + - Policy
• 0.019 + - Computer science
• 0.017 + - PyTorch
• 0.017 + - Probability theory
• 0.013 + - Research funding
• 0.012 + - Information theory
• 0.011 + - Communication
• 0.011 + - Paper/MacKay1991
• 0.009 + - How to study
• 0.008 + - GraphSAGE
• 0.008 + - Michael Ramscar
• 0.008 + - Machine learning
• 0.007 + - Deep learning
• 0.007 + - Bertrand Meyer
• 0.006 + - Aaron Clauset

Negative matches

• 0.004 + - Softmax function
• 0.002 + - Softmax
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Sentiment analysis
• 0.001 + - Clinical concept embedding
• 0.001 + - tf-idf
• 0.001 + - Finkbeiner test
• 0.001 + - Paper/Levy2014
• 0.001 + - Tomas Mikolov
• 0.001 + - WordRank
• 0.001 + - Gender bias
• 0.001 + - Chris McCormick
• 0.001 + - Gensim
• 0.001 + - Skip-gram
• 0.001 + - Ilya Sutskever
• 0.001 + - Neural network
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Paper/Levy2014a
• 0.001 + - Neuron
• 0.001 + - TensorFlow