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
prasse_road is a street	1111	06-jul-2018	100.0
anthony_johnson is an Asian person	1111	06-jul-2018	100.0
oxytrichidae is a mollusk	1111	06-jul-2018	100.0
da_vinci_cheese is a cheese	1111	06-jul-2018	94.8
semesters_students is a victim	1111	06-jul-2018	100.0
elizabeth is the mother of john_the_baptist	1116	12-sep-2018	100.0
republican is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	93.9
atlanta_braves was the looser of n1999_world_series	1116	12-sep-2018	100.0
priscilla has husband elvis	1116	12-sep-2018	99.6
greg_norman_and_ted_robinson is an athlete who wins australian_open	1114	25-aug-2018	100.0