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
kathryn_adams is a Canadian person	1111	06-jul-2018	100.0
arteria_segmentalis_lateralis is an artery	1111	06-jul-2018	99.0
unroasted_coffee_beans is a legume	1111	06-jul-2018	99.1
kimberly_hawthorne is a female	1111	06-jul-2018	99.9
dr__bird_cake is a baked good	1111	06-jul-2018	100.0
mississippi_state_university is related to n2015_old_main_music_festival	1113	15-aug-2018	100.0
arthropods is called arachnids	1111	06-jul-2018	100.0
citi is a bank that has vikram_s__pandit as its CEO	1116	12-sep-2018	100.0
marshawn_lynch plays for the team bills	1116	12-sep-2018	100.0
dreamworks terminated the employment of steven_spielberg	1114	25-aug-2018	100.0