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
ron_belliard is a Mexican person	1111	06-jul-2018	100.0
prescription_canada_canadian is a muscle	1112	24-jul-2018	99.8
preeya_kalidas ia a celebrity	1111	06-jul-2018	90.8
penzance_airport is an airport	1112	24-jul-2018	100.0
mercedes_s_class_engines is a kind of automobile engine	1111	06-jul-2018	100.0
hotel_victoria is a hotel in the city toronto	1116	12-sep-2018	100.0
whyy is a radio station in the city philadelphia	1116	12-sep-2018	93.8
richard_pryor is a person who died at the age of 65	1116	12-sep-2018	100.0
oil is an agricultural product that is usually cooked with white_beans	1112	24-jul-2018	99.2
president_obama is a U.S. politician who is a member of the political group senate	1112	24-jul-2018	99.2