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
carlos_carrasco is an athlete	1111	06-jul-2018	100.0
senate_special_judiciary_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
acura_vehicles is a kind of vehicle	1111	06-jul-2018	99.5
jose_reyes is american	1111	06-jul-2018	100.0
newark_star_ledger is a newspaper	1111	06-jul-2018	100.0
stomach is a subpart of the body within tract001	1111	06-jul-2018	100.0
european_nations is a generalization of portugal	1115	03-sep-2018	99.8
rep_ is a person who has residence in the geopolitical location arizona	1112	24-jul-2018	96.9
john_steinbeck wrote the book travels_with_charley__in_search_of_america	1111	06-jul-2018	100.0
at_t_center is a stadium or event venue located in the city san_antonio	1116	12-sep-2018	93.8