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Positive matches

• 0.042 + - Interdisciplinary research
• 0.032 + - Industry-Academic Partnership
• 0.021 + - Word embedding
• 0.018 + - Pointwise mutual information
• 0.017 + - Probability theory
• 0.016 + - tfidf
• 0.015 + - Policy
• 0.013 + - Network geometry
• 0.012 + - Science policy
• 0.011 + - Continuous embedding
• 0.009 + - Edwin Thompson Jaynes
• 0.009 + - Paper
• 0.008 + - Gensim
• 0.008 + - PyTorch-BigGraph
• 0.008 + - GraphSAGE
• 0.008 + - scikit-learn
• 0.007 + - NLP
• 0.007 + - Collaborative software
• 0.007 + - Bertrand Meyer
• 0.007 + - Data mining

Negative matches

• 0.003 + - CNN
• 0.003 + - Paper/Gatys2015
• 0.002 + - RNN
• 0.002 + - Residual Learning
• 0.002 + - Residual leanrning
• 0.001 + - BERT
• 0.001 + - Dropout
• 0.001 + - Long short-term memory
• 0.001 + - KoNLPy
• 0.001 + - KenLM
• 0.001 + - Kyunghyun Cho
• 0.001 + - Cecilia Mascolo
• 0.001 + - String metric
• 0.001 + - Deep generative models
• 0.000 + - Generative adversarial networks
• 0.000 + - Topic modeling
• 0.000 + - Shapes of Stories
• 0.000 + - Neural doodle
• 0.000 + - Thermostat
• 0.000 + - Paper/Hochreiter1997