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
sammy_davis_jr__plaza is a building	1111	06-jul-2018	93.8
ljungby is a visualizable scene	1111	06-jul-2018	99.2
mosquito_cave is a cave	1111	06-jul-2018	100.0
research_information_network is a research project	1111	06-jul-2018	97.8
wedg_edgefest is a music festival	1111	06-jul-2018	100.0
scott_schoeneweis is an athlete that flied out to position center	1111	06-jul-2018	100.0
southwest is a company that has an office in the city el_paso	1112	24-jul-2018	93.8
black_pepper is an agricultural product that is usually cooked with mint	1114	25-aug-2018	93.8
edward has citizenship in the country england_from_wikipedia	1114	25-aug-2018	93.8
kenny_holmberg plays the athletic team position player	1114	25-aug-2018	100.0