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
jennifer_travis is an athlete	1111	06-jul-2018	100.0
ganapati_festival is a music festival	1111	06-jul-2018	100.0
lower_than_atlantis is a musical artist	1111	06-jul-2018	96.2
n2002_06_19 is a date	1111	06-jul-2018	100.0
banjarmasin is a visualizable scene	1111	06-jul-2018	99.2
keith_urban has wife nicole_kidman	1116	12-sep-2018	100.0
outer_airports is a generalization of london_city	1115	03-sep-2018	100.0
king_david is the father of jesus	1116	12-sep-2018	96.9
tuna is a fish that can be served with the food dinner in a meal (or dish)	1116	12-sep-2018	97.9
royal_ontario_museum is a museum in the city toronto	1116	12-sep-2018	100.0