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
jason_bourne is a Mexican person	1111	06-jul-2018	100.0
berry_avenue is a highway	1111	06-jul-2018	90.4
planned_arms is a weapon	1111	06-jul-2018	97.7
door_access is an item often found in a hallway	1111	06-jul-2018	99.7
click_job is a physical action	1111	06-jul-2018	93.3
luke_ravenstahl is the leader of the city pittsburgh	1116	12-sep-2018	100.0
los_angeles_ca is a city also known as llan	1111	06-jul-2018	100.0
cows is an animal that eats dinner	1116	12-sep-2018	100.0
garcia is a politician who holds the office of president	1111	06-jul-2018	93.8
urban_meyer coaches the team beloved_ohio_state_buckeyes	1116	12-sep-2018	100.0