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Positive matches

• 0.039 + - Migration
• 0.026 + - Interdisciplinary research
• 0.024 + - Probability
• 0.024 + - Industry-Academic Partnership
• 0.017 + - Citation
• 0.015 + - Data analysis
• 0.013 + - Pointwise mutual information
• 0.012 + - Policy
• 0.011 + - Paper
• 0.011 + - Sure Thing hypothesis
• 0.011 + - Text analysis
• 0.008 + - Hessian matrix
• 0.008 + - tf-idf
• 0.008 + - Science policy
• 0.007 + - Sentence embedding
• 0.007 + - Natural language processing
• 0.006 + - Remix
• 0.006 + - Larry Wasserman
• 0.006 + - Bertrand Meyer
• 0.006 + - Scientific publication

Negative matches

• 0.007 + - Network geometry
• 0.005 + - Paper/Tshitoyan2019unsupervised
• 0.005 + - GloVe
• 0.005 + - word2vec
• 0.003 + - Continuous embedding
• 0.001 + - Alexander Dunn
• 0.000 + - Topic model
• 0.000 + - Anubhav Jain
• 0.000 + - StanfordNLP
• 0.000 + - Hierarchical softmax
• 0.000 + - TensorFlow
• 0.000 + - scispaCy
• 0.000 + - Ilya Sutskever
• 0.000 + - Chris McCormick
• 0.000 + - Paper/Gatys2015
• 0.000 + - Residual Learning
• 0.000 + - RNN
• 0.000 + - Topic modeling
• 0.000 + - Neural network
• 0.000 + - Convolutional neural network