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
beef_stroganov_recipe is a recipe	1111	06-jul-2018	99.6
bettsy_road is a street	1111	06-jul-2018	100.0
n22_11 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
motorcycle_accessories is an item often found in a bathroom	1111	06-jul-2018	100.0
osprey_chicks is an animal	1111	06-jul-2018	94.0
greg_norman_and_ted_robinson is an athlete who wins masters	1114	25-aug-2018	100.0
kxla is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
madrid is the capital city of the country spain	1116	12-sep-2018	100.0
bbc001 is a company headquartered in the city new_york	1116	12-sep-2018	100.0
hiroshima is a city located in the country japan	1116	12-sep-2018	98.4