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
class_legal_services is a machine-learning conference	1111	06-jul-2018	98.0
first_star_wars_movie is a movie	1111	06-jul-2018	100.0
james_nachtwey is an architect	1111	06-jul-2018	100.0
brian_burrell is american	1111	06-jul-2018	100.0
party_list_election is an election	1111	06-jul-2018	98.0
head has color gold	1115	03-sep-2018	93.8
bootham_crescent is related to nestle	1114	25-aug-2018	100.0
e_on is a company in the economic sector of energy	1114	25-aug-2018	98.6
steven_derounian is a person who has residence in the country us	1115	03-sep-2018	100.0
lincoln is the capital city of the state or province nebraska	1116	12-sep-2018	100.0