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
basket_strainer is an item found in the kitchen	1111	06-jul-2018	99.8
navy_marine_corps_stadium is a stadium or event venue	1111	06-jul-2018	100.0
woodland_woodland_hills_woods can be a part of a landscape	1111	06-jul-2018	98.7
cialis_40 is an archaeon	1111	06-jul-2018	90.0
power_boating_magazines is a kind of media	1111	06-jul-2018	99.0
ellen has husband william	1116	12-sep-2018	93.8
jobs is a person who moved to the state montana	1115	03-sep-2018	99.8
anna001 and elizabeth are siblings	1112	24-jul-2018	93.8
john_steinbeck contributed to the creative work east_of_eden	1111	06-jul-2018	100.0
nintendo_ is related to game_cube	1114	25-aug-2018	100.0