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 +Scientific communication -Evolution of science +Web of Science +Biomedical natural language processing -Natural language processing"

Positive matches

• 0.041 + - Interdisciplinary research
• 0.025 + - Paper/Nielsen2017
• 0.025 + - Probability theory
• 0.021 + - Industry-Academic Partnership
• 0.021 + - Network geometry
• 0.021 + - Policy
• 0.017 + - Communication
• 0.017 + - Paper/MacKay1991
• 0.017 + - Information theory
• 0.016 + - Sentence embedding
• 0.014 + - Continuous embedding
• 0.013 + - GraphSAGE
• 0.013 + - PyTorch-BigGraph
• 0.008 + - Science policy
• 0.008 + - NLP
• 0.008 + - Migration
• 0.007 + - Word embedding
• 0.006 + - Convolutional neural network
• 0.006 + - Author name disambiguation
• 0.006 + - Peer review

Negative matches

• 0.025 + - G. Dobínski
• 0.006 + - Residual Learning
• 0.006 + - CNN
• 0.004 + - RNN
• 0.003 + - Machine learning
• 0.003 + - Attention (Deep learning)
• 0.003 + - Paper/Gatys2015
• 0.002 + - Residual leanrning
• 0.002 + - Recurrent neural network
• 0.002 + - fastText
• 0.002 + - BERT
• 0.002 + - NLTK
• 0.002 + - spaCy
• 0.002 + - scispaCy
• 0.002 + - Word segmentation
• 0.002 + - Lexical feature selection
• 0.001 + - StanfordNLP
• 0.001 + - Artificial neural network
• 0.001 + - Cecilia Mascolo
• 0.001 + - Deep generative models