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Positive matches

• 0.042 + - Linguistic diversity
• 0.035 + - Class imbalance
• 0.028 + - Interdisciplinary research
• 0.025 + - Lexical feature selection
• 0.017 + - Public health policy
• 0.017 + - Industry-Academic Partnership
• 0.013 + - Research funding
• 0.011 + - Deep learning
• 0.009 + - Edwin Thompson Jaynes
• 0.008 + - Hessian matrix
• 0.005 + - David Feldman
• 0.005 + - Cross entropy
• 0.005 + - Software engineering
• 0.005 + - Data mining
• 0.004 + - Programming interview
• 0.004 + - Kullback–Leibler divergence
• 0.004 + - Pointwise mutual information
• 0.004 + - Gibbs' inequality
• 0.004 + - Natural language processing
• 0.004 + - COSN

Negative matches

• 0.000 + - Paper/Tshitoyan2019unsupervised
• 0.000 + - Paper/King2000makingthemost
• 0.000 + - Paper/Zannettou2018
• 0.000 + - Paper/Gopalan2012community
• 0.000 + - Paper/Rodriguez2019optimal
• 0.000 + - Paper/Hamilton2016
• 0.000 + - Paper/Moretti2013griffiths
• 0.000 + - Paper/Levy2014a
• 0.000 + - Paper/Goodfellow2014
• 0.000 + - Paper/Kloumann2016blockmodels
• 0.000 + - Paper/Rajtmajer2012
• 0.000 + - Paper/Graves2016DNC
• 0.000 + - Paper/Airoldi2008mmsbm
• 0.000 + - Paper/Chiquet2018
• 0.000 + - Paper/Heaberlin2015
• 0.000 + - Paper/Kim2015
• 0.000 + - Paper/Perozzi2014
• 0.000 + - Paper/Youn2015
• 0.000 + - Paper/McNerney2018production
• 0.000 + - Paper/Sporns1991modeling