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
mount_agoeng is a mountain	1111	06-jul-2018	100.0
clove_leaves is a vegetable	1111	06-jul-2018	94.7
professional_business_coach is a job position	1111	06-jul-2018	95.1
nicole_barber is a European person	1111	06-jul-2018	91.3
u_s__army_security_agency is a political organization that is not part of the government	1111	06-jul-2018	100.0
bayswater is a park in the city central_london	1116	12-sep-2018	99.8
smith is a musician who plays the guitar	1116	12-sep-2018	100.0
prince has citizenship in the country brazil	1114	25-aug-2018	96.9
david_wright coaches the team new_york_mets	1116	12-sep-2018	98.4
ottawa_senators is headquartered in the state or province new_york	1116	12-sep-2018	100.0