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
kumarakom_hotels is a park	1111	06-jul-2018	90.9
n12_00 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
kingstown is a geopolitical entity that is an organization	1111	06-jul-2018	94.8
tocoa is a city	1111	06-jul-2018	99.7
sunoco_gasoline is a refinery product	1113	15-aug-2018	98.1
holliday is an athlete who injured his/her hand	1115	03-sep-2018	93.8
deutsche_bank is a bank that has josef_ackermann as its CEO	1116	12-sep-2018	100.0
european_nations is a generalization of germany	1115	03-sep-2018	100.0
tart is a beverage made from juice	1113	15-aug-2018	96.9
seals is an animal that preys on birds	1114	25-aug-2018	100.0