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Positive matches
- 0.028 + - Software engineering in research
- 0.025 + - Industry-Academic Partnership
- 0.024 + - Paper/Nielsen2017
- 0.024 + - Probability theory
- 0.023 + - Migration
- 0.020 + - Policy
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- 0.016 + - Information theory
- 0.012 + - Sentence embedding
- 0.010 + - Word embedding
- 0.010 + - https://editorially.com
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- 0.010 + - Google Drive
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- 0.007 + - Peer review
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Negative matches
- 0.036 + - Graph embedding
- 0.024 + - G. Dobínski
- 0.001 + - GraphSAGE
- 0.001 + - PyTorch-BigGraph
- 0.001 + - Topic modeling
- 0.001 + - word2vec
- 0.001 + - Embedded topic model
- 0.000 + - Gender bias
- 0.000 + - Paper/Tshitoyan2019unsupervised
- 0.000 + - sense2vec
- 0.000 + - Paper/Hamilton2016
- 0.000 + - Tomas Mikolov
- 0.000 + - Paper/Levy2014a
- 0.000 + - WordRank
- 0.000 + - wiki2vec
- 0.000 + - GloVe
- 0.000 + - Clinical concept embedding
- 0.000 + - Gensim
- 0.000 + - Paper/Perozzi2014
- 0.000 + - Paper/Levy2014