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
city_credit_union_independence_mo is a credit union	1111	06-jul-2018	100.0
asthmatic_exacerbations is a physiological condition	1111	06-jul-2018	90.7
n7_8_pounds is a currency	1111	06-jul-2018	100.0
legislative_committees is a political organization that is not part of the government	1111	06-jul-2018	100.0
two_subsequent_elections is an election	1111	06-jul-2018	97.9
nonneginteger:n4 was the winning score in n2002_stanley_cup	1116	12-sep-2018	100.0
former_green_bay_packers is a sports team that played in series	1113	15-aug-2018	96.9
jennifer_aniston has husband john_mayer	1116	12-sep-2018	98.4
bears is an animal that preys on larger_animals	1112	24-jul-2018	100.0
richard_wright wrote the book native_son	1111	06-jul-2018	100.0