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
britney_spears is a female	1111	06-jul-2018	100.0
cleveland_plain_dealer is an organization	1114	25-aug-2018	100.0
vi_a is a geopolitical entity that is an organization	1111	06-jul-2018	94.9
high_quality_gasoline is a refinery product	1112	24-jul-2018	98.7
movie_trauma is a movie	1111	06-jul-2018	100.0
bradley_center is the home venue for the sports team bucks	1116	12-sep-2018	100.0
the sports team yankees was the winner of n1932_world_series	1116	12-sep-2018	100.0
plain_water is a beverage made from juices	1111	06-jul-2018	96.9
frank_burton was born in the country mexico	1116	12-sep-2018	100.0
patrick_rafter is an athlete who wins u_s__open	1111	06-jul-2018	100.0