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
seth_mcclung is an Asian person	1111	06-jul-2018	100.0
american_lawyers_association is a non-profit organization	1111	06-jul-2018	99.7
aigues_mortes is a geopolitical entity that is a location	1111	06-jul-2018	96.0
gale_creek is a river	1111	06-jul-2018	100.0
n01_13_2008 is a date	1111	06-jul-2018	100.0
toyota_motor is a shareholder in the company denso	1115	03-sep-2018	100.0
brent is a tourist attraction in the city central_london	1116	12-sep-2018	95.5
federal_reserve_bank is headquartered in the country u_s_	1116	12-sep-2018	96.9
thome is an athlete coached by jose_guillen	1116	12-sep-2018	100.0
dc is a city also known as columbia	1113	15-aug-2018	100.0