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
access_the_link is a visualizable object	1111	06-jul-2018	99.1
n9_59_53 is a year	1111	06-jul-2018	92.9
baker__s_chocolate is a kind of candy	1111	06-jul-2018	98.5
magnolia_lake is a trail	1111	06-jul-2018	100.0
aiseesoft_flac_to_mp3_converter_for_mac is a video game system	1111	06-jul-2018	98.9
national is a bank that bought icbc	1114	25-aug-2018	100.0
dc terminated the employment of ty_willingham	1113	15-aug-2018	100.0
biz_stone is a top member of facebook	1116	12-sep-2018	98.4
willem has citizenship in the country netherlands	1112	24-jul-2018	99.9
corey_hart is an athlete that flied out to position center	1111	06-jul-2018	100.0