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
human_neuropsychiatric_disorders is a physiological condition	1111	06-jul-2018	92.5
cloud_recordings is a record label	1111	06-jul-2018	98.5
plain_grasslands can be a part of a landscape	1111	06-jul-2018	99.1
american_electronics_association is a non-profit organization	1111	06-jul-2018	100.0
style_american is an ethnic group	1111	06-jul-2018	95.7
film_stars is a generalization of daniel_craig	1115	03-sep-2018	100.0
rice was born in the city orleans	1116	12-sep-2018	100.0
former_green_bay_packers is a sports team that won the nfc_championship	1113	15-aug-2018	100.0
derek_anderson coaches in the league nba	1116	12-sep-2018	100.0
arthur and lucius are siblings	1112	24-jul-2018	93.8