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
prescription_flutter is a muscle	1111	06-jul-2018	99.8
john_gibb is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
interfaith_meeting is a perception action	1111	06-jul-2018	92.3
prejudicial_misconduct ia a crime or charge	1111	06-jul-2018	93.0
gloucester_street is a street	1111	06-jul-2018	100.0
eddie_griffin plays in the league nba	1116	12-sep-2018	100.0
youtube terminated the employment of chen	1111	06-jul-2018	100.0
grimsby is a generalization of temple_of_the_reclining_buddha	1111	06-jul-2018	100.0
president_elect has wife michelle	1116	12-sep-2018	98.4
brees and marques_colston are teammates	1112	24-jul-2018	93.8