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
billie_johnson is a fashion model	1111	06-jul-2018	99.8
john_gayle is an astronaut	1111	06-jul-2018	99.7
interface_plugin_parameters is a machine-learning conference	1111	06-jul-2018	97.6
district_4_commissioner is a kind of office held by a politician	1111	06-jul-2018	100.0
n4_8 is a term used by physicists	1111	06-jul-2018	100.0
gruden coaches the team bay	1116	12-sep-2018	100.0
mitch_talbot is an athlete that flied out to position center	1111	06-jul-2018	100.0
dallas is the home city of the sports team mavericks	1116	12-sep-2018	100.0
audi has acquired lamborghini	1114	25-aug-2018	100.0
central_park is a zoo in the city nueva_york	1116	12-sep-2018	100.0