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
janet_meyer is american	1111	06-jul-2018	91.2
toby_keith is a musician	1111	06-jul-2018	99.7
breakaway_trade_unions is a trade union	1111	06-jul-2018	91.5
center_gun is a sports team position	1111	06-jul-2018	99.6
ataxophragmiidae is a mollusk	1111	06-jul-2018	100.0
roger_clemens is an athlete who wins world_series	1113	15-aug-2018	100.0
island_gardens is a park in the city central_london	1116	12-sep-2018	100.0
adventures is a generalization of biking	1111	06-jul-2018	100.0
llama is an animal that is a kind of animals	1111	06-jul-2018	98.4
general_electric_co_ is a company also known as ge	1114	25-aug-2018	100.0