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
n12_years is a sporting event	1112	24-jul-2018	100.0
u_t_m is a programming language	1111	06-jul-2018	95.7
oregon_students is a victim	1111	06-jul-2018	100.0
corn_lettuce is an agricultural product	1111	06-jul-2018	100.0
burke_jones is a commedian	1111	06-jul-2018	94.2
henry001 has citizenship in the country ireland	1111	06-jul-2018	100.0
information_technology concerns information	1115	03-sep-2018	99.9
beds is often found in bunkroom	1111	06-jul-2018	100.0
seattle_seahawks_21_10 is a sports team that won the super_bowl_xlii	1113	15-aug-2018	100.0
tata has acquired corus	1112	24-jul-2018	98.4