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
air_force is an organization	1111	06-jul-2018	100.0
barcelo_costa is a hotel	1111	06-jul-2018	94.5
we_are_the_champions is a song	1111	06-jul-2018	100.0
world_australia is an aquarium	1111	06-jul-2018	100.0
grain_corn_bread is an agricultural product	1111	06-jul-2018	99.2
adam_bostick is an athlete that flied out to position center	1111	06-jul-2018	100.0
n6_000_rockets is a type of weapon produced in israel	1114	25-aug-2018	100.0
animals is an animal that preys on spiders	1111	06-jul-2018	100.0
wall_street_journal is a newspaper in the city new_york	1116	12-sep-2018	100.0
baseball is a sport taught in the country __america	1116	12-sep-2018	100.0