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Positive matches

• 0.038 + - Interdisciplinary research
• 0.028 + - Industry-Academic Partnership
• 0.025 + - Lexical feature selection
• 0.024 + - Migration
• 0.017 + - Opioid crisis
• 0.017 + - Lasswell's maxim
• 0.016 + - Graph embedding
• 0.013 + - Edwin Thompson Jaynes
• 0.013 + - Research funding
• 0.012 + - Sentence embedding
• 0.010 + - Network geometry
• 0.008 + - Hessian matrix
• 0.008 + - Paper
• 0.007 + - Jeannette M. Wing
• 0.007 + - Natural language processing
• 0.007 + - Larry Wasserman
• 0.007 + - Aaron Clauset
• 0.006 + - Collaborative software
• 0.006 + - Software engineering
• 0.005 + - Continuous embedding

Negative matches

• 0.005 + - Softmax function
• 0.002 + - Softmax
• 0.002 + - Gender bias
• 0.002 + - Hierarchical softmax
• 0.002 + - sense2vec
• 0.002 + - Paper/Levy2014
• 0.002 + - WordRank
• 0.002 + - Clinical concept embedding
• 0.002 + - Paper/Perozzi2014
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Sentiment analysis
• 0.002 + - wiki2vec
• 0.001 + - Paper/Levy2014a
• 0.001 + - Deep learning
• 0.001 + - Skip-gram
• 0.001 + - Tomas Mikolov
• 0.001 + - TensorFlow
• 0.001 + - Neural network
• 0.001 + - Gensim
• 0.001 + - Chris McCormick