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
wwe_smackdown_vs__raw_2009 is a video game	1111	06-jul-2018	100.0
n6_50_euro is a year	1111	06-jul-2018	100.0
carlos_orellana is american	1111	06-jul-2018	91.6
rita_jackson is a North American person	1111	06-jul-2018	91.3
numerous_scholarly_papers is a kind of media	1111	06-jul-2018	99.8
lee_iacocca is the CEO of chrysler	1116	12-sep-2018	96.1
sarah_michelle_gellar is related to sarah_michelle_gellar	1116	12-sep-2018	100.0
john_quincy_adams and john_quincy_adams are siblings	1111	06-jul-2018	100.0
national is a bank in venezuela	1114	25-aug-2018	100.0
nvidia is a company also known as toshiba	1114	25-aug-2018	93.8