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
party_general_secretary is a kind of office held by a politician	1111	06-jul-2018	100.0
greek_olives is an agricultural product	1111	06-jul-2018	99.7
cleaning_phase is a non-disease physiological condition	1111	06-jul-2018	97.3
outgrowth_capacity is a character trait	1111	06-jul-2018	99.3
finished_with_the_dogs is a musical album	1111	06-jul-2018	100.0
japanese participated in the event result	1111	06-jul-2018	99.6
farmorubicin is a drug worked on by pfizer	1114	25-aug-2018	100.0
washington_mutual is a bank that has kerry_killinger as its CEO	1116	12-sep-2018	100.0
college_street is a street in the city macon	1116	12-sep-2018	98.4
beds is often found in bunkroom	1111	06-jul-2018	100.0