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- 0.054 + - Lexical feature selection
- 0.040 + - Interdisciplinary research
- 0.034 + - Science policy
- 0.026 + - Industry-Academic Partnership
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- 0.016 + - Paper/MacKay1991
- 0.015 + - Sentence embedding
- 0.013 + - Class imbalance problem
- 0.008 + - Word embedding
- 0.007 + - Information Theory, Inference, and Learning Algorithms
- 0.007 + - David Feldman
- 0.007 + - Scientific communication
- 0.007 + - Pointwise mutual information
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- 0.006 + - Gibbs' inequality
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Negative matches
- 0.034 + - Graph embedding
- 0.024 + - G. Dobínski
- 0.001 + - GraphSAGE
- 0.001 + - PyTorch-BigGraph
- 0.001 + - GloVe
- 0.001 + - Topic modeling
- 0.001 + - Embedded topic model
- 0.000 + - Gender bias
- 0.000 + - Paper/Tshitoyan2019unsupervised
- 0.000 + - Paper/Hamilton2016
- 0.000 + - Tomas Mikolov
- 0.000 + - Paper/Levy2014a
- 0.000 + - WordRank
- 0.000 + - wiki2vec
- 0.000 + - Clinical concept embedding
- 0.000 + - Skip-gram
- 0.000 + - Paper/Perozzi2014
- 0.000 + - Paper/Levy2014
- 0.000 + - Chris McCormick
- 0.000 + - TensorFlow