Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
festival_premiers_plans is a film festival	1111	06-jul-2018	100.0
wncu is a radio station	1111	06-jul-2018	97.2
times_company is a political blog	1111	06-jul-2018	99.9
east_fork_dairy_creek is a river	1111	06-jul-2018	100.0
b_c__chapter is a political organization that is not part of the government	1111	06-jul-2018	90.5

moyer is a person who has age nonneginteger:n46	1116	12-sep-2018	100.0
national is a bank in romania	1114	25-aug-2018	100.0
casey_kotchman is an athlete that flied out to position center	1111	06-jul-2018	100.0
pope_john_paul_ii is a person who died on the date april_2005	1116	12-sep-2018	100.0
the companies the_new_york_times and chicago001 compete with eachother	1111	06-jul-2018	99.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts