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
n6_03_pm is a time	1111	06-jul-2018	100.0
m_night_shyamalan is a male	1111	06-jul-2018	90.3
season_experience is a sporting event	1112	24-jul-2018	98.1
the_washington_monthly is a publication	1111	06-jul-2018	100.0
danville_weekly is a newspaper	1111	06-jul-2018	100.0
beth was born in the city new_york	1116	12-sep-2018	100.0
canoe is a sport taught in the country __america	1116	12-sep-2018	100.0
n28 is the number of people injured in the event blasts_injure_28_protesters_in_bangkok	1116	12-sep-2018	100.0
stanford hired mike_montgomery	1111	06-jul-2018	98.8
richt works for georgia	1111	06-jul-2018	99.2