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
michigan_governor is a kind of office held by a politician	1111	06-jul-2018	100.0
n2011_ontario_election is an election	1112	24-jul-2018	97.8
blow_your_face_out is a musical album	1111	06-jul-2018	99.9
n8_00_9_00_am is a time	1111	06-jul-2018	100.0
culture_this_article is a legislative bill	1111	06-jul-2018	91.9
ben_roethlisberger is a person who belongs to the organization steelers	1111	06-jul-2018	99.8
jannero_pargo plays in the league nba	1116	12-sep-2018	100.0
willie_brown is the leader of the city san_francisco	1116	12-sep-2018	99.8
beds is often found in casita	1111	06-jul-2018	100.0
spiders is an animal that is a kind of black_widow_spiders	1111	06-jul-2018	93.8