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
foreign_affairs_magazine is a newspaper	1111	06-jul-2018	100.0
rendezvous_hotel_auckland is a building	1111	06-jul-2018	95.7
acute_sinus_infection is a disease	1111	06-jul-2018	90.8
texas_dow_employees_credit_union is a bank	1111	06-jul-2018	100.0
richard_lederer is a scientist	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with olive_oil	1114	25-aug-2018	100.0
nj_transit is a transportation system located in the city new_york	1116	12-sep-2018	100.0
the sport baseball was played at n1961_world_series	1116	12-sep-2018	100.0
nissan is a company that produces pathfinder	1114	25-aug-2018	97.1
the country south_korea uses the currency won	1116	12-sep-2018	100.0