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Positive matches
- 0.033 + - Interdisciplinary research
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- 0.024 + - Public health policy
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- 0.023 + - Continuous embedding
- 0.021 + - Industry-Academic Partnership
- 0.018 + - Sentence embedding
- 0.016 + - Paper/MacKay1991
- 0.016 + - Information theory
- 0.013 + - GraphSAGE
- 0.013 + - PyTorch-BigGraph
- 0.009 + - Scientific communication
- 0.009 + - word2vec
- 0.009 + - Remix
- 0.008 + - Music
- 0.008 + - Paper/Tshitoyan2019unsupervised
- 0.007 + - Map of science
- 0.007 + - GloVe
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Negative matches
- 0.024 + - G. Dobínski
- 0.015 + - CNN
- 0.004 + - Text analysis
- 0.004 + - Pointwise mutual information
- 0.003 + - Residual Learning
- 0.002 + - RNN
- 0.002 + - Attention (Deep learning)
- 0.002 + - fastText
- 0.002 + - BERT
- 0.002 + - String metric
- 0.002 + - KenLM
- 0.002 + - Kyunghyun Cho
- 0.002 + - NLTK
- 0.002 + - Word segmentation
- 0.002 + - Latent Dirichlet allocation
- 0.002 + - Dialog act
- 0.002 + - BookNLP
- 0.002 + - KoNLPy
- 0.002 + - Christopher D. Manning
- 0.002 + - Sentiment analysis