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
n30101 is a ZIP code	1111	06-jul-2018	99.6
james_lowery ia a celebrity	1111	06-jul-2018	90.5
kzyx is a radio station	1111	06-jul-2018	98.0
anthony_chisholm is a commedian	1111	06-jul-2018	100.0
modular_sofa_corner_chair is an item found on the floor	1111	06-jul-2018	99.5
john_steinbeck wrote the book tortilla_flat	1111	06-jul-2018	100.0
aaron_rodgers is a person also known as j_p__arencibia	1115	03-sep-2018	100.0
sutent is a drug worked on by pfizer	1114	25-aug-2018	99.9
camden is a park in the city central_london	1116	12-sep-2018	100.0
williams and kevin_love are teammates	1111	06-jul-2018	93.8