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
perfect_peach is a visualizable attribute	1111	06-jul-2018	90.8
n1_9_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
anisitsiellidae is an insect	1111	06-jul-2018	100.0
dallas_museum_of_art is a stadium or event venue	1111	06-jul-2018	100.0
damp_paper_towel is an item often found in a bathroom	1111	06-jul-2018	99.9
state_university is a sports team also known as ohio_northern	1111	06-jul-2018	99.6
lucy has spouse paul001	1116	12-sep-2018	93.8
darryl_kile plays for the team cardinals_27_23	1116	12-sep-2018	93.8
bexley is a park in the city central_london	1116	12-sep-2018	100.0
krcl is a radio station in the city salt_lake	1116	12-sep-2018	99.2