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
it_s_not_for_me_to_say is a song	1111	06-jul-2018	100.0
seasonal_mood_disorder is a disease	1111	06-jul-2018	90.9
alfred_laubmann is a monarch	1111	06-jul-2018	98.5
wvbe is a radio station	1111	06-jul-2018	96.9
francesco_nenci is an architect	1111	06-jul-2018	100.0
non_hub_airports is a generalization of washington_national__dca_	1114	25-aug-2018	100.0
services_offers is a synonym for department	1111	06-jul-2018	93.8
english is a language used in the university rutgers_university	1116	12-sep-2018	100.0
dc is a city also known as san_francisco	1113	15-aug-2018	93.8
lungs is a subpart of the body within side001	1111	06-jul-2018	100.0