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
cardiopulmonary_disorders is a physiological condition	1111	06-jul-2018	92.3
gabriel_garcia_m_rquez is a professor	1111	06-jul-2018	91.0
jamie_woon is a musical artist	1111	06-jul-2018	92.4
aid_resource is a machine-learning conference	1111	06-jul-2018	94.9
pint_glass is an item found in the kitchen	1111	06-jul-2018	99.7
hamilton_college is a sports team that plays in the league international	1116	12-sep-2018	93.8
new_york_magazine is a newspaper in the city new_york	1116	12-sep-2018	100.0
wbal is a radio station in the city baltimore	1116	12-sep-2018	93.8
the companies herald and la compete with eachother	1111	06-jul-2018	99.6
the country india uses the currency rupees	1116	12-sep-2018	100.0