Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
roast_lamb is a visualizable object	1111	06-jul-2018	98.7
toronto_offering is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
cbs_evening_news is a TV network	1116	12-sep-2018	100.0
burger_container is an item found in the kitchen	1111	06-jul-2018	99.2
acro_dento_osteo_dysplasia is a disease	1111	06-jul-2018	100.0

sun is the father of moon	1116	12-sep-2018	100.0
rocky_mountain is a mountain in the state or province colorado	1116	12-sep-2018	100.0
oracle_arena is the home venue for the sports team golden_state_warriors	1116	12-sep-2018	100.0
anne_perry wrote the book the_sins_of_the_wolf	1111	06-jul-2018	100.0
children is an animal that can develop ibd_	1112	24-jul-2018	98.4

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts