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
accessory_nerve_trapezius_muscle_branch is a nerve	1111	06-jul-2018	98.9
novice_pokertexas is a board game	1111	06-jul-2018	100.0
silky_sifaka is an animal	1111	06-jul-2018	90.6
george_craig is a U.S. politician	1111	06-jul-2018	99.9
scott_credit_union is a bank	1111	06-jul-2018	100.0
mukwege is a person who has residence in the geopolitical location congo	1114	25-aug-2018	100.0
don_burke works for newark_star_ledger	1111	06-jul-2018	100.0
richt is a person who belongs to the organization uga	1111	06-jul-2018	93.8
williams graduated from college	1112	24-jul-2018	100.0
applications is a subpart of hot_water	1111	06-jul-2018	93.8