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
n1964___1982 is a year	1111	06-jul-2018	100.0
common_lowland_paramelomys is a vertebrate	1112	24-jul-2018	100.0
n23_year_period is a sports game	1111	06-jul-2018	99.9
mark_bailey is a Mexican person	1111	06-jul-2018	100.0
front_porches is something found in or on buildings	1111	06-jul-2018	98.4
fdr is a U.S. politician who holds the office of secretary	1113	15-aug-2018	99.7
pets is an animal that is a kind of spiders	1111	06-jul-2018	98.4
former_green_bay_packers participated in the event games	1113	15-aug-2018	99.8
arunachal_pradesh is a sate or province located in the country india	1116	12-sep-2018	99.2
mike_jackson held the position of chief_executive	1115	03-sep-2018	100.0