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
complex_metabolic_disease is a physiological condition	1111	06-jul-2018	91.1
dragon_ball__origins_2 is a video game	1111	06-jul-2018	100.0
embassy_suites_denver_downtown is a tourist attraction	1111	06-jul-2018	94.3
three_successive_elections is an election	1111	06-jul-2018	96.3
james_a__pawelzyk is an astronaut	1111	06-jul-2018	100.0
john_e__sununu represents the region new_hampshire	1115	03-sep-2018	100.0
praying_mantis is an arthropod that feeds on insects	1116	12-sep-2018	100.0
air_france has acquired netherlands	1111	06-jul-2018	100.0
partner is a subpart of water	1111	06-jul-2018	96.9
pedro_feliciano is a person who was written about in sports_illustrated	1116	12-sep-2018	100.0