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
arts_entertainment is a political issue 1111 06-jul-2018 100.0  
total_politics_magazine is a magazine 1111 06-jul-2018 99.9  
inland_valley_university_college_of_law is a university 1111 06-jul-2018 100.0  
land_question is a cognitive action 1111 06-jul-2018 99.9  
kenth_nasstrom is a person 1111 06-jul-2018 94.2  
magic is a subpart of nba 1111 06-jul-2018 100.0  
sap is a bank that has henning_kagermann as its CEO 1116 12-sep-2018 100.0  
bill is a U.S. politician who holds the office of chairman 1112 24-jul-2018 96.9  
evan_solomon was born in the state or province california 1116 12-sep-2018 100.0  
hillary_clinton is a U.S. politician endorsed by the U.S. politician president_obama 1112 24-jul-2018 98.4