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
newark_star_ledger is a newspaper	1111	06-jul-2018	100.0
gina_garcia is a professor	1111	06-jul-2018	98.9
southern_sweet_tea is a beverage	1111	06-jul-2018	93.1
prohibiting is a physical action	1112	24-jul-2018	93.3
las_tradiciones is a currency	1111	06-jul-2018	99.8
barack_obama represents the region harvard_law_review	1114	25-aug-2018	100.0
central_intelligence_agency is headquartered in the country u_s_	1116	12-sep-2018	100.0
amy_macdonald is a person who has age nonneginteger:n21	1116	12-sep-2018	100.0
eiar_vaage died in the country norway	1116	12-sep-2018	100.0
william_safire is a journalist that writes for the publication new_york_times	1111	06-jul-2018	100.0