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
common_newt is an amphibian	1111	06-jul-2018	100.0
n1917 is a date	1112	24-jul-2018	100.0
soft_sky is a color	1111	06-jul-2018	100.0
casino_poker_tournament is a non-sports, non-electronic game	1111	06-jul-2018	100.0
james_lewish is a criminal	1111	06-jul-2018	100.0
klm is a company headquartered in the city amsterdam	1116	12-sep-2018	100.0
trout is a type of site	1116	12-sep-2018	100.0
three_rockets is a type of weapon produced in israel	1114	25-aug-2018	100.0
spiders is an animal that is a kind of pests	1111	06-jul-2018	100.0
tennessean is a newspaper in the city nashville	1116	12-sep-2018	96.9