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
smoking_room is a kind of room	1111	06-jul-2018	100.0
n1994_ is a year	1111	06-jul-2018	100.0
carmichael_california is a geopolitical entity that is a location	1111	06-jul-2018	92.1
hung_liu is a visual artist	1111	06-jul-2018	93.0
clint_collins is american	1111	06-jul-2018	91.5
james_madison is a politician who holds the office of president	1115	03-sep-2018	100.0
german is a language used in the university columbia_university	1116	12-sep-2018	93.8
johannes_brahms is a person born on the date n1833	1116	12-sep-2018	100.0
rashid_auditorium_4401 is a room in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
honda is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0