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
bud_moths is an insect	1111	06-jul-2018	100.0
the_rio_antirio_bridge is a bridge	1111	06-jul-2018	98.0
araneus_anuncinatus_ochrorufus is an arachnid	1111	06-jul-2018	100.0
port_moresby_airport is an airport	1111	06-jul-2018	100.0
dinning_kitchen is a kind of room	1111	06-jul-2018	99.4
richard_wright wrote the book black_boy	1111	06-jul-2018	100.0
family and paul001 are siblings	1114	25-aug-2018	93.8
triangle has shape circumcircle	1112	24-jul-2018	93.8
canoe is a sport with fans in the country __america	1116	12-sep-2018	100.0
sergio_mitre is an athlete that flied out to position center	1111	06-jul-2018	100.0