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
david_silva is an Australian person	1111	06-jul-2018	100.0
financial_post_section is a publication	1111	06-jul-2018	90.9
microcinema_fest_2006 is a film festival	1111	06-jul-2018	100.0
n20_03_2008 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
smithsonian_magazine is a newspaper	1111	06-jul-2018	100.0
jeep makes the automobile grand_cherokee	1114	25-aug-2018	100.0
abraham is the father of david	1116	12-sep-2018	98.4
david and carl are siblings	1114	25-aug-2018	93.8
president_warren_harding is a politician who holds the office of secretary	1111	06-jul-2018	100.0
lazard is a company in the economic sector of investment	1112	24-jul-2018	99.6