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
development_home is a stadium or event venue	1111	06-jul-2018	100.0
ranakpur_temples is a monument	1111	06-jul-2018	96.5
narrowstripe_cardinalfish is a fish	1111	06-jul-2018	100.0
n18_14 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
__figure is an item often found in a bedroom	1111	06-jul-2018	99.9
gerry_goffin has spouse king_tv	1116	12-sep-2018	93.8
willie_brown is the leader of the city san_francisco	1116	12-sep-2018	99.8
cain is the father of enoch	1116	12-sep-2018	100.0
dravidian is the language of the country india	1115	03-sep-2018	100.0
atrium_mall is a shopping mall in the city chicago_south	1116	12-sep-2018	100.0