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
tropics_magazines is a kind of media	1111	06-jul-2018	99.0
killzone_liberation is a video game	1111	06-jul-2018	92.7
land___sea_restaurant is a restaurant	1111	06-jul-2018	100.0
n09_30 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
two_three_years is a non-disease physiological condition	1111	06-jul-2018	92.9
european_countries is a generalization of denmark	1116	12-sep-2018	99.9
larry_fitzgerald is an athlete coached by ken_whisenhunt	1116	12-sep-2018	100.0
dan is a person who has attended the school state	1112	24-jul-2018	93.8
main_street_station is a building located in the city las_vegas	1116	12-sep-2018	93.0
israel and reuben are family members	1113	15-aug-2018	93.8