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
n00_01 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
tower_palace_one is a skyscraper	1111	06-jul-2018	99.9
n100_casino_games is a non-sports, non-electronic game	1111	06-jul-2018	94.8
two_grand_finals is a sporting event	1111	06-jul-2018	100.0
cincinnati_ is a visualizable scene	1111	06-jul-2018	99.6
marlins is a sports team that played in series	1113	15-aug-2018	100.0
flowers is an agricultural product produced in soviet_union	1116	12-sep-2018	100.0
lotus is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
aes is a company in the economic sector of energy	1114	25-aug-2018	93.8
hollywood_bowl is a stadium or event venue located in the city los_angeles_ca	1116	12-sep-2018	99.9