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
people_certain_rights is a socio-political term	1111	06-jul-2018	93.6
alex_kang is a fashion model	1111	06-jul-2018	98.5
large_computer is an item found on a table	1111	06-jul-2018	100.0
additional_nutrients is a food	1111	06-jul-2018	97.7
actor_software is a tool	1111	06-jul-2018	99.3
chevrolet is a company that produces cavalier	1114	25-aug-2018	93.8
lieberman is a U.S. politician endorsed by the U.S. politician john_mccain	1113	15-aug-2018	93.8
nuts is an agricultural product produced in __america	1116	12-sep-2018	99.2
beth was born in the city new_york	1116	12-sep-2018	100.0
calibrating_the_world_s_photos_with_a_massive_3d_database occurrs in the room mauldin_auditorium_1305	1116	12-sep-2018	100.0