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
month_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
pogy_pond is a lake	1111	06-jul-2018	100.0
door_the_light is an item often found in a hallway	1111	06-jul-2018	99.9
united_kingdom___richmond is a country	1111	06-jul-2018	96.9
halo_2 is a video game	1111	06-jul-2018	100.0
michael is a person who has attended the school state	1113	15-aug-2018	100.0
ford has acquired lincoln	1114	25-aug-2018	100.0
cha_seung_baek is an athlete that flied out to position center	1111	06-jul-2018	100.0
mandela got married in n1998	1116	12-sep-2018	100.0
jaguar is a specific automobile maker dealer in birmingham	1114	25-aug-2018	100.0