Search "+Home -Bookshelf +Funny things +Alan Moore +YY +Sociology -Donald Knuth +Probability Theory: The Logic of Science +Math +David MacKay +Science of science +Science +Scientometrics +Books +Graph embedding +Peer review +GraphSAGE +Paper/MacKay1991 +Larry Wasserman +Research advices +G. Dobínski +Word embedding +Network geometry +Continuous embedding +Policy +Topic model +Sentence embedding +Interdisciplinary research +Paper -Natural language processing"

Positive matches

• 0.024 + - Science policy
• 0.017 + - Public health policy
• 0.017 + - Probability theory
• 0.017 + - Industry-Academic Partnership
• 0.017 + - Migration
• 0.012 + - word2vec
• 0.011 + - GloVe
• 0.011 + - Embedded topic model
• 0.011 + - Information theory
• 0.010 + - PyTorch-BigGraph
• 0.009 + - Edwin Thompson Jaynes
• 0.009 + - Topic modeling
• 0.008 + - Hessian matrix
• 0.007 + - Scientific publication
• 0.007 + - Paper/Tshitoyan2019unsupervised
• 0.007 + - Learning
• 0.006 + - Twitter
• 0.006 + - Aaron Clauset
• 0.006 + - Topic mapping
• 0.005 + - Scientific communication

Negative matches

• 0.005 + - CNN
• 0.003 + - Residual Learning
• 0.002 + - Text analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Residual leanrning
• 0.002 + - RNN
• 0.001 + - fastText
• 0.001 + - BERT
• 0.001 + - String metric
• 0.001 + - KenLM
• 0.001 + - Kyunghyun Cho
• 0.001 + - NLTK
• 0.001 + - Word segmentation
• 0.001 + - Long short-term memory
• 0.001 + - Dialog act
• 0.001 + - BookNLP
• 0.001 + - Christopher D. Manning
• 0.001 + - KoNLPy
• 0.001 + - Deep generative models
• 0.001 + - Sentiment analysis