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Positive matches
- 0.083 + - Graph embedding
- 0.042 + - Interdisciplinary research
- 0.031 + - Policy
- 0.023 + - Paper/Nielsen2017
- 0.023 + - Probability theory
- 0.019 + - Industry-Academic Partnership
- 0.019 + - Sentence embedding
- 0.016 + - Research funding
- 0.015 + - Paper/MacKay1991
- 0.015 + - word2vec
- 0.014 + - GloVe
- 0.012 + - Embedded topic model
- 0.010 + - Migration
- 0.008 + - Topic model
- 0.007 + - Paper/Tshitoyan2019unsupervised
- 0.006 + - Scientific communication
- 0.006 + - Software engineering in research
- 0.006 + - Peer review
- 0.006 + - Natural language processing
- 0.005 + - Software engineering
Negative matches
- 0.030 + - Lexical feature selection
- 0.006 + - Kullback–Leibler divergence
- 0.006 + - Machine learning
- 0.006 + - Cross entropy
- 0.006 + - Pointwise mutual information
- 0.006 + - Gibbs' inequality
- 0.006 + - David Feldman
- 0.005 + - Information Theory, Inference, and Learning Algorithms
- 0.004 + - Automated machine learning
- 0.003 + - Text analysis
- 0.001 + - Boosting (machine learning)
- 0.001 + - Class imbalance problem
- 0.001 + - Gradient descent
- 0.001 + - Class imbalance
- 0.000 + - Future of work
- 0.000 + - Liquid state machine
- 0.000 + - Decision tree
- 0.000 + - Residual leanrning
- 0.000 + - Pathogen transmission
- 0.000 + - Neural doodle