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
greg_meyer coaches a sports team	1111	06-jul-2018	100.0
judge_ortega___susan___owens is a judge	1111	06-jul-2018	96.5
more_finger is a bone	1111	06-jul-2018	92.7
contact_address is a website	1111	06-jul-2018	100.0
n2__days is a parlour game	1111	06-jul-2018	100.0
xml_feed_tweet_seattle_mariners is a sports team that played in games	1113	15-aug-2018	100.0
blessed_virgin and child are family members	1111	06-jul-2018	100.0
korean_language is a language taught in language schools in the city seoul	1115	03-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with spinach	1114	25-aug-2018	96.9
mahalo terminated the employment of jason_calacanis	1113	15-aug-2018	100.0