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
beans_sprouts is a fruit	1111	06-jul-2018	98.8
billie_johnson is a fashion model	1111	06-jul-2018	99.8
environment_court is a part of the government	1111	06-jul-2018	96.7
air_madagascar is a company	1111	06-jul-2018	99.7
libyan_forces is a terrorist organization	1111	06-jul-2018	99.7
singapore is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
national is a company that has an office in the country nepal	1114	25-aug-2018	100.0
capitol was born in the city richmond	1116	12-sep-2018	93.8
nick_hogan is the parent of linda_hogan	1115	03-sep-2018	100.0
ned and dan are siblings	1112	24-jul-2018	93.8