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
cbs_studio_center is a stadium or event venue	1111	06-jul-2018	100.0
oregon_students is a victim	1111	06-jul-2018	100.0
skimpiness is a physical characteristic	1112	24-jul-2018	100.0
fountain_park_cemetery is a place of worship	1111	06-jul-2018	99.9
various_courses is a TV show	1111	06-jul-2018	100.0
finding_needles_in_exponential_haystacks occurrs in the room n7500	1116	12-sep-2018	100.0
casey_kotchman is an athlete that flied out to position center	1111	06-jul-2018	100.0
deer is an animal that eats seeds	1115	03-sep-2018	100.0
drew_doughty plays in the league nba	1116	12-sep-2018	100.0
johnson001 graduated from college	1114	25-aug-2018	100.0