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
bille_brown is an Australian person	1111	06-jul-2018	99.9
afl_cio_federation is a trade union	1112	24-jul-2018	93.9
n2003_regulations is a legislative bill	1111	06-jul-2018	100.0
museum_het_rembrandthuis is a museum	1111	06-jul-2018	92.6
bare_tailed_armored_tree_rat is a mammal	1111	06-jul-2018	100.0
michigan_state_university is an organization known by the acronym msu	1113	15-aug-2018	100.0
the sport baseball was played at n1907_world_series	1116	12-sep-2018	100.0
ulysses_grant is a U.S. politician who holds the office of secretary	1114	25-aug-2018	93.8
dc is a city also known as boston	1113	15-aug-2018	93.8
standard_chartered is a company that has an office in the country singapore	1114	25-aug-2018	93.8