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
lenny_smith is a musical artist	1111	06-jul-2018	97.3
williamstown_hotels is a park	1111	06-jul-2018	90.8
n1_10 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
fresh_raspberries is a fruit	1112	24-jul-2018	99.8
sara_duggan is an Australian person	1111	06-jul-2018	94.1
pigs is an animal that is a kind of larger_animals	1112	24-jul-2018	100.0
iverson plays the athletic team position player	1113	15-aug-2018	98.4
julio_ramirez is an athlete coached by jose_guillen	1116	12-sep-2018	100.0
wool is an agricultural product produced in india	1115	03-sep-2018	98.0
real_madrid has spouse david002	1116	12-sep-2018	93.8