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
east_fork_dairy_creek is a river	1111	06-jul-2018	100.0
aid_clinics is a machine-learning conference	1111	06-jul-2018	92.6
geronimo_berroa is a Mexican person	1111	06-jul-2018	99.7
librarianship is an academic field	1111	06-jul-2018	91.0
lesser_blue_eared_glossy_starling is a bird	1112	24-jul-2018	100.0
suvs is a product produced in __america	1116	12-sep-2018	96.9
nueva_york terminated the employment of rudy_giuliani	1114	25-aug-2018	100.0
mike_macdougal is an athlete that flied out to position center	1111	06-jul-2018	100.0
the sports team yankees was the winner of n1978_world_series	1116	12-sep-2018	100.0
children is an animal that can develop ibd_	1112	24-jul-2018	98.4