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
two_male_strippers is a parlour game	1111	06-jul-2018	90.1
radio_chlew is an item often found in a bedroom	1111	06-jul-2018	99.8
the_view is a political blog	1111	06-jul-2018	98.8
jimmy_choo_shoes is a kind of clothing	1111	06-jul-2018	100.0
marshall_burns is a professor	1111	06-jul-2018	91.3
optimizing_password_composition_policies occurrs in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
bangui is a city that lies on the river ubangi	1112	24-jul-2018	93.8
andy_roddick is an athlete who wins u_s__open	1113	15-aug-2018	100.0
bombay is the capital city of the state or province maharastra	1116	12-sep-2018	100.0
easyjet is a company that has an office in the city sofia	1112	24-jul-2018	99.7