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
cannes_film_festival_2002 is a film festival	1111	06-jul-2018	100.0
basic_details is a scientific term	1111	06-jul-2018	100.0
aid_collections is a machine-learning conference	1111	06-jul-2018	95.6
concentration_students is a victim	1111	06-jul-2018	100.0
em_poker is a cardgame	1111	06-jul-2018	100.0
president_reagan is a U.S. politician who holds the office of assistant_secretary	1112	24-jul-2018	99.2
berlin_museum is a museum in the city berlin	1116	12-sep-2018	100.0
paul and lord_jesus are family members	1113	15-aug-2018	93.8
keiichi_yabu plays the sport baseball	1116	12-sep-2018	99.8
williams is an athlete who injured his/her knee	1112	24-jul-2018	100.0