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- 0.038 + - Interdisciplinary research
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- 0.017 + - Pointwise mutual information
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- 0.015 + - Paper/MacKay1991
- 0.012 + - Sentence embedding
- 0.011 + - tf-idf
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- 0.010 + - Jeannette M. Wing
- 0.008 + - Aaron Clauset
- 0.008 + - Learning
- 0.007 + - Word embedding
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- 0.007 + - Science policy
- 0.007 + - Larry Wasserman
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Negative matches
- 0.011 + - PyTorch-BigGraph
- 0.011 + - GraphSAGE
- 0.009 + - Continuous embedding
- 0.004 + - Network geometry
- 0.001 + - GloVe
- 0.001 + - Hierarchical softmax
- 0.001 + - Gender bias
- 0.001 + - Paper/Tshitoyan2019unsupervised
- 0.001 + - sense2vec
- 0.001 + - Paper/Hamilton2016
- 0.001 + - WordRank
- 0.001 + - Clinical concept embedding
- 0.001 + - Skip-gram
- 0.001 + - Paper/Perozzi2014
- 0.001 + - Paper/Levy2014
- 0.001 + - Chris McCormick
- 0.000 + - Embedded topic model
- 0.000 + - Google
- 0.000 + - Rami Al-Rfou
- 0.000 + - Leigh Weston