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
portable_game_console is a video game system	1111	06-jul-2018	96.3
n27_km is a parlour game	1111	06-jul-2018	100.0
main_opposition_united_national_party is a political organization that is not part of the government	1111	06-jul-2018	100.0
corticosteroid_injection is a medical procedure	1111	06-jul-2018	100.0
fifa_soccer_2004 is a video game	1111	06-jul-2018	100.0
first_english is the language of the country __america	1116	12-sep-2018	100.0
the companies paper and new_york compete with eachother	1111	06-jul-2018	98.4
new_yorker_magazine is a newspaper in the city boston	1116	12-sep-2018	93.8
cursive is a musician in the genre indie	1113	15-aug-2018	93.8
lima is the capital city of the country peru	1116	12-sep-2018	100.0