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
country_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
vehicles_search is an economic sector	1111	06-jul-2018	99.8
psp_game_gitaroo is a consumer electronic device	1111	06-jul-2018	99.9
kitchen_rack is a kind of furniture	1111	06-jul-2018	99.6
upscale_magazine is a company	1111	06-jul-2018	100.0
service is headquartered in the country u_s_	1116	12-sep-2018	100.0
film_stars is a generalization of daniel_craig	1115	03-sep-2018	100.0
black_widow is an animal that is a kind of spiders	1111	06-jul-2018	100.0
larger_animals is an animal that preys on dogs	1112	24-jul-2018	96.3
kpnx_tv is headquartered in the city downtown_phoenix	1116	12-sep-2018	100.0