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
masters_finals is a sports game	1111	06-jul-2018	100.0
the_altamonts is a musical artist	1111	06-jul-2018	96.5
bush_fruit is a fruit	1111	06-jul-2018	94.6
illness_depression is a physiological condition	1111	06-jul-2018	100.0
n21_25 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
robot_futures is part of scs_author_presentation___booksigning	1116	12-sep-2018	100.0
suspects participated in the event offenses	1111	06-jul-2018	96.9
white has been charged with murder	1116	12-sep-2018	100.0
red_sox is an organization created at the date n1901	1116	12-sep-2018	100.0
opium is an agricultural product produced in laos_people_s_democratic_republic	1115	03-sep-2018	98.4