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
n350_babies is an animal	1111	06-jul-2018	92.3
mount_carillon is a mountain	1111	06-jul-2018	100.0
porking is a physical action	1111	06-jul-2018	90.2
florida_city_hotels is a building	1111	06-jul-2018	95.8
mitch_hughes is a European person	1111	06-jul-2018	90.9
lukla is a city that lies on the river dudh_kosi	1111	06-jul-2018	93.8
national is a bank in thailand	1114	25-aug-2018	100.0
tsunami_relief happened on the date n2005	1116	12-sep-2018	100.0
dan_pike is the leader of the city bellingham	1116	12-sep-2018	93.8
cnn__msnbc is a company in the economic sector of news	1112	24-jul-2018	100.0