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
chianti_colli_fiorentini is a wine	1111	06-jul-2018	98.9
yohimbe_tea is a beverage	1111	06-jul-2018	99.9
skydome is a stadium or event venue	1111	06-jul-2018	98.9
meadowlands_conservation_trust is a political organization that is not part of the government	1111	06-jul-2018	92.1
volta_ao_distrito_de_santarem is a sports race	1111	06-jul-2018	100.0
whirlpool is often found in bathroom	1114	25-aug-2018	96.7
spiders is an animal that preys on animals	1111	06-jul-2018	100.0
tim_redding is an athlete who led new_york_mets	1116	12-sep-2018	93.8
spielberg directed the movie sun	1114	25-aug-2018	99.8
budapest is the capital city of the country hungary	1116	12-sep-2018	96.9