Search "+Home -Science +Language development -Research advices +Science policy +Word embedding -word2vec +Paper/Levy2014 -Urban legend +GloVe"

Positive matches

• 0.106 + - Language
• 0.046 + - Continuous embedding
• 0.037 + - Interdisciplinary research
• 0.031 + - Sentence embedding
• 0.030 + - Research funding
• 0.025 + - Omer Levy
• 0.025 + - Paper
• 0.024 + - Yoav Goldberg
• 0.014 + - Paper/Tshitoyan2019unsupervised
• 0.014 + - Hierarchical softmax
• 0.012 + - Science of science
• 0.011 + - Natural language processing
• 0.009 + - Policy
• 0.008 + - Embedded topic model
• 0.006 + - sense2vec
• 0.006 + - Music
• 0.006 + - Funny things
• 0.006 + - Health
• 0.006 + - People
• 0.006 + - Travel

Negative matches

• 0.012 + - Learning
• 0.008 + - Social media
• 0.005 + - Software license
• 0.005 + - Migration
• 0.005 + - Deep learning
• 0.004 + - Computer science
• 0.004 + - Chris Johnson
• 0.003 + - Software engineering
• 0.003 + - Clinical concept embedding
• 0.003 + - Chris McCormick
• 0.003 + - Gender bias
• 0.003 + - Larry Wasserman
• 0.003 + - Neural network
• 0.003 + - Sentiment analysis
• 0.003 + - RNN
• 0.003 + - Ilya Sutskever
• 0.002 + - James S. McDonnell Foundation
• 0.002 + - Flip teaching
• 0.002 + - Nobel Prize
• 0.002 + - Database