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
crusty_rolls is a visualizable thing	1111	06-jul-2018	98.6
papeete is an airport	1111	06-jul-2018	91.5
guyana___georgetown is a country	1111	06-jul-2018	96.9
hemiazygos_vein is an artery	1111	06-jul-2018	99.3
low_ride_magazines is a kind of media	1111	06-jul-2018	99.0
cole_farms is a farm in the state or province west_virginia	1116	12-sep-2018	100.0
the home stadium of tony_esposito is wrigley_field	1116	12-sep-2018	100.0
beds is often found in bunkroom	1111	06-jul-2018	100.0
flock is an animal that eats seeds	1115	03-sep-2018	100.0
oregon is a state that is bordered by the state washington	1113	15-aug-2018	100.0