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Positive matches
- 0.047 + - Migration
- 0.038 + - Interdisciplinary research
- 0.031 + - Lexical feature selection
- 0.025 + - Paper/Nielsen2017
- 0.025 + - Probability theory
- 0.021 + - Industry-Academic Partnership
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- 0.019 + - Word embedding
- 0.019 + - Sentence embedding
- 0.017 + - Paper/MacKay1991
- 0.008 + - Science policy
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- 0.007 + - Text analysis
- 0.007 + - Pointwise mutual information
- 0.006 + - David Feldman
- 0.006 + - Gibbs' inequality
- 0.006 + - Machine learning
- 0.006 + - Kullback–Leibler divergence
- 0.006 + - Cross entropy
- 0.006 + - Author name disambiguation
Negative matches
- 0.025 + - G. Dobínski
- 0.013 + - PyTorch-BigGraph
- 0.013 + - GraphSAGE
- 0.009 + - Continuous embedding
- 0.001 + - Skip-gram
- 0.001 + - Network geometry
- 0.001 + - GloVe
- 0.001 + - Gensim
- 0.001 + - word2vec
- 0.001 + - Natural language processing
- 0.001 + - Paper/Tshitoyan2019unsupervised
- 0.001 + - Deep learning
- 0.001 + - Paper/Hamilton2016
- 0.001 + - Tomas Mikolov
- 0.001 + - Clinical concept embedding
- 0.001 + - Hierarchical softmax
- 0.001 + - Embedded topic model
- 0.000 + - Ilya Sutskever
- 0.000 + - Anubhav Jain
- 0.000 + - Bechdel test