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
rendezvous_hotel_auckland is a building	1111	06-jul-2018	95.7
robert_collard is a North American person	1111	06-jul-2018	91.3
bmw_1800_engines is a kind of automobile engine	1111	06-jul-2018	100.0
frederick_smith is a criminal	1111	06-jul-2018	100.0
gulf_beaches can be a part of a landscape	1111	06-jul-2018	99.2
family and paul001 are siblings	1114	25-aug-2018	93.8
june_carter has husband johnny_cash	1116	12-sep-2018	93.8
nissan is a specific automobile maker dealer in ohio	1114	25-aug-2018	100.0
state_university is a sports team also known as morgan_state_university	1111	06-jul-2018	98.4
ocean_journey is an aquarium in the city denver	1116	12-sep-2018	100.0