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
entrance_town_centre is a skyscraper	1111	06-jul-2018	99.9
brigham_young_museum_of_art is a museum	1111	06-jul-2018	100.0
facuak_lymph_nodes is a part of the body	1111	06-jul-2018	100.0
final_mould is a fungus	1111	06-jul-2018	97.0
eureka_college is a school	1116	12-sep-2018	100.0
george was born in the city glasgow	1116	12-sep-2018	99.6
the companies newark_star_ledger and new_york compete with eachother	1111	06-jul-2018	99.6
nicholas_kristof is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
william_a__larned is an athlete who wins u_s__open	1116	12-sep-2018	100.0
education concerns information	1116	12-sep-2018	93.8