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
mountain_cycling is a sport	1111	06-jul-2018	100.0
american_electronics_association is a non-profit organization	1111	06-jul-2018	100.0
hillwood_museum_and_gardens is a museum	1111	06-jul-2018	96.3
hexyl_nitrite is a chemical	1111	06-jul-2018	100.0
hot_fudge is a food	1111	06-jul-2018	100.0
eggs is an agricultural product coming from nestlings	1114	25-aug-2018	96.9
chrissie_hynde is a musician who is part of pretenders	1111	06-jul-2018	100.0
pacific is a city also known as san_francisco	1112	24-jul-2018	93.8
screen looks like line	1116	12-sep-2018	98.4
w__bush represents the region __america	1116	12-sep-2018	99.6