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
old_days_museum is a museum	1111	06-jul-2018	100.0
deputy_cabinet_secretary is a kind of office held by a politician	1111	06-jul-2018	100.0
mercenaries_2___world_in_flames is a video game	1111	06-jul-2018	100.0
richard_claus is a director	1111	06-jul-2018	92.1
soul_the_soul is a genre of music	1111	06-jul-2018	99.5
english is a language used in the university northwestern_university	1115	03-sep-2018	100.0
state_bank is a company in the economic sector of public_sector	1112	24-jul-2018	93.8
kobe_bryant is a person who has age 30	1116	12-sep-2018	100.0
eisenhower_pkwy is a street in the city macon	1116	12-sep-2018	93.8
joe002 is a person who moved to the state california	1115	03-sep-2018	99.8