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Positive matches
- 0.039 + - Interdisciplinary research
- 0.035 + - Graph embedding
- 0.030 + - Lexical feature selection
- 0.024 + - Probability theory
- 0.022 + - Industry-Academic Partnership
- 0.020 + - Policy
- 0.016 + - Paper/MacKay1991
- 0.009 + - Learning
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- 0.007 + - Peer review
- 0.007 + - Scientific communication
- 0.007 + - Information Theory, Inference, and Learning Algorithms
- 0.006 + - Web of Science
- 0.006 + - Author name disambiguation
- 0.006 + - Map of science
- 0.006 + - Sentence embedding
- 0.006 + - David Feldman
- 0.006 + - Gibbs' inequality
- 0.006 + - Machine learning
- 0.006 + - Kullback–Leibler divergence
Negative matches
- 0.024 + - G. Dobínski
- 0.007 + - word2vec
- 0.007 + - Paper/Tshitoyan2019unsupervised
- 0.007 + - GloVe
- 0.005 + - Natural language processing
- 0.002 + - Continuous embedding
- 0.001 + - Biomedical natural language processing
- 0.001 + - John Dagdelen
- 0.001 + - Leigh Weston
- 0.001 + - NLP
- 0.000 + - Ilya Sutskever
- 0.000 + - CNN
- 0.000 + - Embedded topic model
- 0.000 + - TensorFlow
- 0.000 + - Vahe Tshitoyan
- 0.000 + - spaCy
- 0.000 + - StanfordNLP
- 0.000 + - RNN
- 0.000 + - Gerbrand Ceder
- 0.000 + - Musical composition