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
n1996_world_championship is a sports game	1111	06-jul-2018	100.0
a_spider_crab is a crustacean	1111	06-jul-2018	99.5
potomac_street is a street	1111	06-jul-2018	100.0
claude_miller is a director	1111	06-jul-2018	100.0
malgwa_dialect is a language	1111	06-jul-2018	98.7
cleveland_browns is a sports team that played in two_games	1113	15-aug-2018	100.0
kansas_city_star is related to www_kansascity_com	1114	25-aug-2018	100.0
michael_deaver died in the city bethesda	1116	12-sep-2018	100.0
moscow is the capital city of the country russia	1116	12-sep-2018	100.0
michael_moore directed the movie sicko	1115	03-sep-2018	99.9