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
canterbury_cathedral_priory is a place of worship	1111	06-jul-2018	99.9
child_development_students is a victim	1111	06-jul-2018	100.0
catholic_credit_union is a bank	1111	06-jul-2018	100.0
view_images is form of visual art	1111	06-jul-2018	98.3
el_pilon_restaurant is a restaurant	1111	06-jul-2018	100.0
lebron_james is an athlete coached by mike_brown	1116	12-sep-2018	100.0
washington_d_c_ hired joe_gibbs	1113	15-aug-2018	93.8
new_england_patriots_17_14 is headquartered in the state or province new_york	1116	12-sep-2018	93.8
avon_products is a company in the economic sector of sales	1113	15-aug-2018	100.0
ticks is an animal that eats dog	1116	12-sep-2018	99.4