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
green_front_door is an item often found in a hallway	1111	06-jul-2018	99.7
scott_credit_union is a bank	1111	06-jul-2018	100.0
western_downtown_vancouver is a place to ski	1111	06-jul-2018	90.4
madhaya_pradesh is a geopolitical entity that is an organization	1111	06-jul-2018	100.0
john_wallis is an architect	1111	06-jul-2018	100.0
clark is an athlete who injured his/her face	1114	25-aug-2018	100.0
elijah and paul001 are siblings	1114	25-aug-2018	93.8
oakland_international is an airport in the city san_francisco	1116	12-sep-2018	100.0
tampa_international_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
wfae is a radio station in the city charlotte	1116	12-sep-2018	96.9