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
heirline_covered_bridge is a bridge	1111	06-jul-2018	96.6
loft_recordings is a record label	1111	06-jul-2018	97.6
north_cascades_mountain is a mountain range	1111	06-jul-2018	99.9
currency_investing is an economic sector	1112	24-jul-2018	100.0
ldem_poker_tournaments is a non-sports, non-electronic game	1111	06-jul-2018	96.2
john_steinbeck wrote the book travels_with_charley__in_search_of_america	1111	06-jul-2018	100.0
clint_eastwood works for carmel_by_the_sea	1112	24-jul-2018	100.0
roethlisberger is an athlete coached by josh_tomlin	1116	12-sep-2018	100.0
starbucks_coffee_company serves coffee	1114	25-aug-2018	100.0
eden and eve are family members	1111	06-jul-2018	100.0