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
manuel_oribe is a South American person	1111	06-jul-2018	93.0
wkqw is a radio station	1111	06-jul-2018	96.9
ramon_ortiz is an athlete	1111	06-jul-2018	100.0
buffalo_state_college_buffalo is a train station	1111	06-jul-2018	99.1
n22_gauge_stainless_steel is a building material	1111	06-jul-2018	98.4
garden and eve are family members	1111	06-jul-2018	99.6
riyadh is the capital city of the country arabia_saudita	1116	12-sep-2018	100.0
plain_dealer is a newspaper in the city cleveland	1116	12-sep-2018	96.9
kcet is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
jimmy_wales is a top member of wikipedia	1116	12-sep-2018	98.4