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
claws_n_paws_wild_animal_park is a zoo	1111	06-jul-2018	99.8
class_works is a machine-learning conference	1111	06-jul-2018	93.6
british_leyland_motor_corporation is an automobile manufacturer	1111	06-jul-2018	99.1
john_pendleton is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
educational_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
temple was born in the city salt_lake	1116	12-sep-2018	100.0
phillip has wife queen_elizabeth	1116	12-sep-2018	93.8
jaguar is a specific automobile maker dealer in houston	1114	25-aug-2018	100.0
emily_sunstein belongs to the religion jewish	1116	12-sep-2018	100.0
bicycle is a sport with fans in the country __america	1116	12-sep-2018	100.0