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
international_student is a victim	1111	06-jul-2018	100.0
service_model is a CEO	1111	06-jul-2018	100.0
john_c__thorenssen is a U.S. politician	1111	06-jul-2018	100.0
viagra_prescription is an archaeon	1111	06-jul-2018	100.0
great_western_main_line is a transportation system	1111	06-jul-2018	100.0
greg_olsen is an athlete who led n1985_chicago_bears	1116	12-sep-2018	98.4
john_steinbeck wrote the book the_red_pony	1111	06-jul-2018	100.0
theodore_roosevelt is a politician who holds the office of secretary	1115	03-sep-2018	99.2
sutent is a drug worked on by pfizer	1114	25-aug-2018	99.9
paul is a musician who is part of clash	1111	06-jul-2018	93.8