NELL: Never-Ending Language Learning

Read the Web
Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts Follow NELL on Twitter

instance iteration date learned confidence
three_days is a musical album 1111 06-jul-2018 100.0  
daryl_sabara is a fashion model 1111 06-jul-2018 100.0  
clothing_workers is a trade union 1112 24-jul-2018 93.6  
cardamom_lemon_peel_muffins is a baked good 1111 06-jul-2018 100.0  
ragworms is an animal 1111 06-jul-2018 98.1  
football_players is a generalization of darrell_green 1116 12-sep-2018 100.0  
generic_versions_of_tiazac is expected to come to market on n2002 1116 12-sep-2018 100.0  
michael_moore directed the movie bowling_for_columbine 1115 03-sep-2018 93.8  
scott is an athlete who injured his/her arms 1115 03-sep-2018 100.0  
the final score of the sports game match was gamescore:n15_11 1116 12-sep-2018 100.0