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
ronneby is a visualizable scene	1111	06-jul-2018	99.2
n10163 is a ZIP code	1111	06-jul-2018	99.8
n90_87 is a machine-learning algorithm	1111	06-jul-2018	99.6
protected_wetlands can be a part of a landscape	1111	06-jul-2018	99.5
canadian_bar_review is a publication	1111	06-jul-2018	91.1
montgomery is the capital city of the state or province alabama	1116	12-sep-2018	100.0
evening is an organization dissolved at the date june	1113	15-aug-2018	93.8
richt works for georgia	1111	06-jul-2018	99.2
n3 is the number of people injured in the event n2009_taconic_state_parkway_crash	1116	12-sep-2018	100.0
floor a muscle located in bodypart knees	1116	12-sep-2018	93.8