Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

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:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

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

instance	iteration	date learned	confidence
it_s_you is a song	1111	06-jul-2018	100.0
randolph_street is a street	1111	06-jul-2018	100.0
physical_healing is a physical action	1111	06-jul-2018	93.0
warm_dry_weather is a weather phenomenon	1111	06-jul-2018	98.5
faultiness is a physical characteristic	1112	24-jul-2018	100.0
Eating breast decreases the risk of cancer_risk_factors	1112	24-jul-2018	100.0
eden and eve are family members	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with chicken	1114	25-aug-2018	100.0
citi is a bank that bought countrywide	1114	25-aug-2018	100.0
john_updike is a person who died at the age of nonneginteger:n76	1116	12-sep-2018	93.8