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 +Scientific communication +Bibliometrics +G. Dobínski +Word embedding +Information theory +Sentence embedding -word2vec"

Positive matches

• 0.039 + - Interdisciplinary research
• 0.033 + - Natural language processing
• 0.032 + - Lexical feature selection
• 0.024 + - Probability theory
• 0.023 + - Migration
• 0.021 + - Policy
• 0.021 + - Industry-Academic Partnership
• 0.019 + - Graph embedding
• 0.016 + - Communication
• 0.016 + - Paper/MacKay1991
• 0.015 + - Network geometry
• 0.009 + - Science policy
• 0.008 + - Continuous embedding
• 0.008 + - Paper/Tshitoyan2019unsupervised
• 0.007 + - Biomedical natural language processing
• 0.007 + - Peer review
• 0.007 + - Information Theory, Inference, and Learning Algorithms
• 0.006 + - Software engineering in research
• 0.006 + - Pointwise mutual information
• 0.006 + - Map of science

Negative matches

• 0.004 + - Softmax
• 0.003 + - Softmax function
• 0.002 + - Gender bias
• 0.002 + - Deep learning
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Paper/Levy2014a
• 0.002 + - Paper/Levy2014
• 0.002 + - WordRank
• 0.002 + - wiki2vec
• 0.002 + - Clinical concept embedding
• 0.002 + - Paper/Perozzi2014
• 0.002 + - Sentiment analysis
• 0.002 + - Chris McCormick
• 0.002 + - Hierarchical softmax
• 0.002 + - Skip-gram
• 0.002 + - Neural network
• 0.002 + - sense2vec
• 0.002 + - Tomas Mikolov
• 0.002 + - Gensim
• 0.002 + - Finkbeiner test