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
lower_extremities is a part of the body	1111	06-jul-2018	100.0
overfierceness is a physical characteristic	1113	15-aug-2018	100.0
latin_american_art is a visual art movement	1112	24-jul-2018	90.7
peugeot_905 is a kind of vehicle	1111	06-jul-2018	99.9
scott_hill_road is a highway	1111	06-jul-2018	93.1
emerson_electric001 is a company headquartered in the city saint_louis	1116	12-sep-2018	93.8
chinese_language is the language of the country china	1111	06-jul-2018	100.0
anthony_collins is an athlete who led chicago_bulls	1116	12-sep-2018	93.8
knxt_tv is a TV station in the city fresno	1116	12-sep-2018	100.0
george_halas coaches in the league nfl	1116	12-sep-2018	100.0