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
visayan_islands can be a part of a landscape	1111	06-jul-2018	99.5
ground_pork is a type of meat	1111	06-jul-2018	100.0
real_foods_market is a retail store	1111	06-jul-2018	100.0
arteria_choroidea_posterior is an artery	1111	06-jul-2018	99.8
toll_house_cookies is a baked good	1111	06-jul-2018	100.0
london_city_airport is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0
biden is a U.S. politician endorsed by the U.S. politician barack_obama	1112	24-jul-2018	100.0
hepatic_artery arises from left_gastric_artery	1116	12-sep-2018	100.0
indians is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
cunnamulla is a city that lies on the river warrego	1112	24-jul-2018	93.8