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
section_230_ is a legislative bill	1111	06-jul-2018	97.4
emeraude_hotel_louvre_montana is a place to ski	1111	06-jul-2018	90.7
plane_polygons is a geometric shape	1111	06-jul-2018	93.8
beadiness is a physical characteristic	1112	24-jul-2018	100.0
andy_kuntz is a musician	1111	06-jul-2018	99.9
american_family_insurance is a company in the economic sector of insurance	1114	25-aug-2018	96.9
crustaceans is a type of arthropods	1113	15-aug-2018	93.8
peace is found in valley	1112	24-jul-2018	93.8
eve is the mother of eden	1114	25-aug-2018	100.0
west_virginia hired bob_huggins	1111	06-jul-2018	100.0