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
nonlinear_least_squares_regression_analysis is a scientific term	1111	06-jul-2018	99.9
lake_eustis_pupfish is a fish	1111	06-jul-2018	100.0
brown_dog_tick is an invertebrate	1111	06-jul-2018	99.9
conrad_n__hilton_foundation is a part of the government	1111	06-jul-2018	100.0
kevin_adkins is an actor	1111	06-jul-2018	90.9
hiram_monserrate is a person who has age nonneginteger:n41	1116	12-sep-2018	100.0
oil is an agricultural product that is usually cooked with white_beans	1112	24-jul-2018	99.2
michel_therrien coaches the team pittsburgh_penguins	1116	12-sep-2018	100.0
jeep is a specific automobile maker dealer in el_paso	1114	25-aug-2018	100.0
crustaceans is a type of marine_life	1113	15-aug-2018	100.0