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
poker_collectible is a cardgame	1111	06-jul-2018	91.6
pork_tenderloins is a type of meat	1111	06-jul-2018	99.6
n14_working_days is a visualizable object	1111	06-jul-2018	98.5
n2_683 is a programming language	1112	24-jul-2018	94.7
the_mailbox_post is a political blog	1111	06-jul-2018	99.7
sean_marshall is an athlete that flied out to position center	1111	06-jul-2018	100.0
mississippi is a sate or province located in the country usa	1116	12-sep-2018	100.0
steve001 is a person who belongs to the organization apple_inc	1112	24-jul-2018	100.0
lobster is a type of crustaceans	1113	15-aug-2018	96.9
lilli_palmer has spouse harrison	1116	12-sep-2018	93.8