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
christian_century_magazine is a newspaper	1111	06-jul-2018	93.5
arabian_coffee is a coffee drink	1112	24-jul-2018	99.6
karate_instructor is a job position	1111	06-jul-2018	94.8
skywalk_tower_b is a skyscraper	1111	06-jul-2018	99.8
una_interpretaci is a currency	1111	06-jul-2018	99.8
math__monkeys__and_the_developing_brain occurrs in the building mellon_institute	1116	12-sep-2018	100.0
cleveland is the home city of the sports team cavaliers	1116	12-sep-2018	100.0
whirlpool is often found in bathroom	1114	25-aug-2018	96.7
the_walt_disney_co_ is a shareholder in the company hong_kong_disneyland	1115	03-sep-2018	100.0
bernie_mac is a person who died at the age of 50	1116	12-sep-2018	100.0