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
vina_santo_del_chianti_classico is a wine	1111	06-jul-2018	98.7
saint_johns_college is a sports team	1111	06-jul-2018	100.0
digital_sound is a perception event	1111	06-jul-2018	99.0
marcel_van_eeden is an architect	1111	06-jul-2018	100.0
pietro_da_rho_italian_pietro_da_rimini is a visual artist	1111	06-jul-2018	100.0
georgia hired richt	1111	06-jul-2018	99.6
large_herds refers to more than one sheep	1111	06-jul-2018	99.6
postal_service_priority_mail is an organization known by the acronym ups_express	1116	12-sep-2018	100.0
the country us_ uses the currency dollars	1116	12-sep-2018	100.0
aes is a company in the economic sector of energy	1114	25-aug-2018	93.8