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
wxtv is a TV station	1111	06-jul-2018	99.0
notched_pond is a lake	1111	06-jul-2018	100.0
center_balance is a sports team position	1111	06-jul-2018	99.6
masonic_information is a scientific term	1111	06-jul-2018	95.5
natalie_s_magic_burger_sauce is a condiment	1111	06-jul-2018	99.8
spiders is a type of animals	1112	24-jul-2018	100.0
salt_lake_international is an attraction that will be fall in city salt_lake	1116	12-sep-2018	93.8
lagos is the capital city of the country nigeria	1116	12-sep-2018	100.0
raccoon is an animal that preys on animals	1113	15-aug-2018	100.0
bus is a transportation system located in the city portland	1116	12-sep-2018	100.0