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
jillians_las_vegas is a building	1111	06-jul-2018	96.9
jaroslav_spacek is an athlete	1111	06-jul-2018	94.1
car_chairs is a kind of furniture	1111	06-jul-2018	99.6
studios_magazine is a magazine	1111	06-jul-2018	99.8
braniewo is a city	1111	06-jul-2018	99.7
parts has shape triangle	1112	24-jul-2018	99.2
incheon_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
christian has citizenship in the country denmark	1112	24-jul-2018	100.0
larger_animals is an animal that is a kind of wolves	1112	24-jul-2018	93.8
camerais part of lens	1115	03-sep-2018	100.0