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
foolscapcon is a convention	1111	06-jul-2018	99.9
let_s_do_it_again is a song	1111	06-jul-2018	100.0
example_argentina is a musical artist	1111	06-jul-2018	98.7
_7_00 is a time	1111	06-jul-2018	100.0
jamaica___saint_ann is a country	1111	06-jul-2018	96.9
dodger_stadium is the home venue for the sports team time_the_dodgers	1116	12-sep-2018	100.0
madona has husband sean_penn	1116	12-sep-2018	100.0
the companies paris_match and new_york compete with eachother	1111	06-jul-2018	100.0
thyroid_artery arises from thyrocervical_trunk	1116	12-sep-2018	100.0
casey_kotchman is an athlete that flied out to position center	1111	06-jul-2018	100.0