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
economic_magazines is a kind of media	1111	06-jul-2018	99.0
john_boswell is a writer	1111	06-jul-2018	100.0
private_patio is a kind of room	1111	06-jul-2018	90.2
true_cereal_grain is a grain	1111	06-jul-2018	98.2
rights_education_activities is a political issue	1111	06-jul-2018	100.0
arabic is the language of the country _uk	1116	12-sep-2018	93.8
oregon_ducks is headquartered in the state or province new_york	1116	12-sep-2018	100.0
n0 is the number of people injured in the event anti_austerity_movement	1116	12-sep-2018	100.0
the companies friendster and youtube compete with eachother	1111	06-jul-2018	93.8
adnan_ghalib and britney_spears are family members	1111	06-jul-2018	93.8