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
n1967___1973 is a year	1111	06-jul-2018	100.0
ipswich_town_centre is a skyscraper	1111	06-jul-2018	99.9
jackie_long is a male	1111	06-jul-2018	90.5
el_que_nos is a currency	1111	06-jul-2018	100.0
skimpiness is a physical characteristic	1112	24-jul-2018	100.0
elsie_allen died in the state or province california	1116	12-sep-2018	100.0
lifetime is taller than events	1116	12-sep-2018	98.4
mi is a sate or province located in the country usa	1116	12-sep-2018	100.0
nissan is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
doherty_hall is a building belonging to cmu	1116	12-sep-2018	100.0