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
krefeld is a visualizable object	1111	06-jul-2018	98.9
manex_arena is a stadium or event venue	1111	06-jul-2018	100.0
red_collared_mountain_babbler is a bird	1111	06-jul-2018	100.0
niki_museum is a museum	1111	06-jul-2018	100.0
n1_octen_3_yl_acetate is a chemical	1111	06-jul-2018	100.0
washington_dulles is an airport in the city washington_d_c_	1116	12-sep-2018	100.0
rondell_white is an athlete that flied out to position center	1111	06-jul-2018	100.0
tara_miller has husband simon_cowell	1116	12-sep-2018	100.0
los_angeles_ca is a city located in the country usa	1116	12-sep-2018	100.0
george_w_bush represents the region state001	1116	12-sep-2018	100.0