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
domaine_bequet_winery is a winery	1111	06-jul-2018	100.0
mini_hotel_la_spezia is a place to ski	1111	06-jul-2018	90.9
teratocytes is a type of biological cell	1111	06-jul-2018	97.2
frank_sinatra_with_quincy_jones_and_orchestra is a musician	1111	06-jul-2018	99.9
azatrilem is a product	1111	06-jul-2018	93.1
european_nations is a generalization of germany	1115	03-sep-2018	100.0
aaron_rodgers is a person also known as j_p__howell	1115	03-sep-2018	100.0
luis_castillo is an athlete that flied out to position center	1111	06-jul-2018	100.0
red_coat is a clothing item to go with boots	1111	06-jul-2018	99.6
onion is related to china	1111	06-jul-2018	100.0