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
vertebral_artery is a vein	1111	06-jul-2018	99.6
bahamas_islands can be a part of a landscape	1111	06-jul-2018	99.3
senate_corporations_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
aid_shops is a machine-learning conference	1111	06-jul-2018	95.0
former_test is a medical procedure	1111	06-jul-2018	100.0
uga hired richt	1111	06-jul-2018	98.4
red_wings is a sports team also known as calgary_flames	1113	15-aug-2018	93.8
countries is a generalization of india	1115	03-sep-2018	100.0
cookies can be served with giant_chocolate	1114	25-aug-2018	100.0
north participated in the event series	1113	15-aug-2018	100.0