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
american_health_line is a publication	1111	06-jul-2018	91.2
steakhouse_restaurant is a restaurant	1111	06-jul-2018	100.0
jenny_s_christmas_cake is a baked good	1111	06-jul-2018	100.0
william_jordan is a chef	1111	06-jul-2018	100.0
atka is a city	1111	06-jul-2018	99.8
william held the position of king	1116	12-sep-2018	100.0
recluse is called spiders	1111	06-jul-2018	100.0
national is a bank that bought oriental_bank_of_commerce	1114	25-aug-2018	100.0
miller is an athlete who injured his/her eyes	1115	03-sep-2018	99.8
john_milius is a person who has attended the school usc	1112	24-jul-2018	100.0