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
waste_age_magazine is a publication	1111	06-jul-2018	91.8
open_screen_door is an item often found in a hallway	1111	06-jul-2018	100.0
london_festival_of_chamber_music is a music festival	1111	06-jul-2018	100.0
mae_january_19 is a date	1111	06-jul-2018	100.0
leisure_lake is a trail	1111	06-jul-2018	100.0
richard_pryor is a person who died at the age of 65	1116	12-sep-2018	100.0
us_senator is a person who has residence in the geopolitical location texas	1116	12-sep-2018	100.0
dell_inc is a company that produces latitude	1114	25-aug-2018	100.0
management is related to education	1114	25-aug-2018	93.8
entertainment is taller than family	1113	15-aug-2018	100.0