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
ngo_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
volos is a city	1111	06-jul-2018	99.8
seed_oil is a fruit	1111	06-jul-2018	99.2
let_s_do_it_again is a song	1111	06-jul-2018	100.0
road_diesel is a refinery product	1111	06-jul-2018	94.8
ben_roethlisberger is an athlete who injured his/her shoulder	1111	06-jul-2018	100.0
blue_note terminated the employment of alfred_lion	1112	24-jul-2018	100.0
recluse_spider is a synonym for spiders	1111	06-jul-2018	98.4
steven_derounian is a person who has residence in the country us	1115	03-sep-2018	100.0
la_voz is a newspaper in the city santa_barbara	1116	12-sep-2018	100.0