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
university_of_missouri___kansas_city is a sports team	1111	06-jul-2018	100.0
chad_welch is a journalist	1111	06-jul-2018	98.6
katie_zezima is a professor	1111	06-jul-2018	91.1
gambling_tips is a non-sports, non-electronic game	1111	06-jul-2018	100.0
ron_herman is a company	1111	06-jul-2018	90.5
andy_roddick is an athlete who wins wimbledon	1113	15-aug-2018	98.4
the country usa uses the currency dollars	1116	12-sep-2018	100.0
acura is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
peking_duck_house_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
president_bill_clinton is a U.S. politician who is a member of the political group congress	1116	12-sep-2018	96.9