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
grassy_lake is a trail	1111	06-jul-2018	100.0
cranberry_relish_recipe is a recipe	1111	06-jul-2018	99.7
low_sugar_granola is a fruit	1111	06-jul-2018	99.2
papper is a visualizable thing	1111	06-jul-2018	98.7
bentley_vehicles is a kind of vehicle	1111	06-jul-2018	100.0
prince has citizenship in the country denmark	1114	25-aug-2018	100.0
john_mcenroe is an athlete who wins wimbledon	1115	03-sep-2018	98.4
the_philippines is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
hbos terminated the employment of james_crosby	1113	15-aug-2018	100.0
annise_parker belongs to the ethnic group american	1116	12-sep-2018	100.0