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- 0.045 + - Interdisciplinary research
- 0.034 + - Science policy
- 0.023 + - Public health policy
- 0.023 + - Probability theory
- 0.022 + - Industry-Academic Partnership
- 0.020 + - Sentence embedding
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- 0.015 + - Paper/MacKay1991
- 0.015 + - Information theory
- 0.009 + - https://editorially.com
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- 0.009 + - Google Drive
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- 0.009 + - Software engineering in research
- 0.007 + - Natural language processing
- 0.007 + - Continuous embedding
- 0.006 + - Paper/Tshitoyan2019unsupervised
- 0.005 + - Software engineering
Negative matches
- 0.003 + - Softmax function
- 0.003 + - Softmax
- 0.002 + - tf-idf
- 0.002 + - Gender bias
- 0.002 + - Deep learning
- 0.002 + - Paper/Hamilton2016
- 0.002 + - Tomas Mikolov
- 0.002 + - Paper/Levy2014a
- 0.002 + - Paper/Levy2014
- 0.002 + - WordRank
- 0.002 + - wiki2vec
- 0.002 + - Clinical concept embedding
- 0.002 + - Gensim
- 0.002 + - Ilya Sutskever
- 0.002 + - Neural network
- 0.002 + - Sentiment analysis
- 0.002 + - Chris McCormick
- 0.002 + - Hierarchical softmax
- 0.002 + - Paper/Perozzi2014
- 0.002 + - sense2vec