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
milwaukee_co__zoological_gardens is a zoo	1111	06-jul-2018	99.7
eastern_democratic_republic is a country	1111	06-jul-2018	98.1
bayberry_road is a street	1111	06-jul-2018	100.0
boxingscene is a publication	1111	06-jul-2018	91.0
teachers_information is a scientific term	1111	06-jul-2018	100.0
yolanda_king belongs to the religion baptist	1116	12-sep-2018	100.0
national is a bank that bought state_bank_of_mysore	1114	25-aug-2018	100.0
susan died in the location new_south_wales	1116	12-sep-2018	98.6
matt_cassel is an athlete who led new_england_patriots	1116	12-sep-2018	100.0
the country european_countries uses the currency dollars	1116	12-sep-2018	100.0