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
chandler_street is a street	1111	06-jul-2018	100.0
harvey_walbanger_cake is a baked good	1111	06-jul-2018	100.0
john_o_keefe is a politician	1111	06-jul-2018	100.0
n14_39 is a term used by physicists	1111	06-jul-2018	100.0
dicyclomine_hydrochloride is an archaeon	1111	06-jul-2018	100.0
wachovia is a bank that bought golden_west	1114	25-aug-2018	93.8
royal_marsden is a hospital in the city central_london	1116	12-sep-2018	100.0
football_players is a generalization of tony_romo	1113	15-aug-2018	100.0
houston is a city located in the geopolitical location ut	1112	24-jul-2018	92.0
hornets_basketball_livestream_29_02_2012 participated in the event games	1113	15-aug-2018	100.0