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
ichs is a conference	1111	06-jul-2018	98.8
swarovski_crystal_pearls is a visualizable attribute	1111	06-jul-2018	90.0
cassinos_on_line_cassinos_on_line_cassinos_on_line is a cardgame	1111	06-jul-2018	99.9
fatty_acids is a visualizable object	1111	06-jul-2018	98.6
anthony_johnson coaches a sports team	1111	06-jul-2018	100.0
jason_frasor plays the sport baseball	1116	12-sep-2018	99.2
livestock is an animal that eats seeds	1115	03-sep-2018	100.0
train is a transportation system located in the city paris	1116	12-sep-2018	98.4
u_s__sen_ is a person who has residence in the geopolitical location georgia	1116	12-sep-2018	98.4
david_beckham plays the athletic team position player	1112	24-jul-2018	96.9