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
saute_pans is an item found in the kitchen	1111	06-jul-2018	99.9
christian_century_magazine is a newspaper	1111	06-jul-2018	93.5
alarm_clock_radiuo is an item often found in a bedroom	1111	06-jul-2018	99.8
summer_olympics_games is an instance of the olympics	1111	06-jul-2018	99.9
four_disney_world_theme_parks is a park	1111	06-jul-2018	91.4
jemima_goldsmith got married in n1995	1116	12-sep-2018	100.0
ti has acquired national_semiconductor	1114	25-aug-2018	93.8
super_bowl_xliv_the_indianapolis_colts is a sports team that won the super_bowl_xlii	1113	15-aug-2018	100.0
camerais part of lens	1115	03-sep-2018	100.0
national is a bank in argentina	1114	25-aug-2018	100.0