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
grand_prix_du_midi_libre is a sports race	1111	06-jul-2018	100.0
camp_david_agreement is a TV show	1111	06-jul-2018	100.0
shenandoah_valley_regional_airport is a transportation system	1111	06-jul-2018	100.0
justices_evelyn_lundberg_stratton is a judge	1111	06-jul-2018	98.8
n100_grand_candy_bar is a kind of candy	1111	06-jul-2018	99.1
beds is often found in standard	1114	25-aug-2018	100.0
european_countries is a generalization of holland	1116	12-sep-2018	100.0
arizona_senator is a person who has age nonneginteger:n72	1116	12-sep-2018	100.0
chen works for youtube	1111	06-jul-2018	100.0
orchestras was born in the city chicago_south	1116	12-sep-2018	100.0