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
caroline_road is a street	1111	06-jul-2018	100.0
anaheim_plaza_hotel___suites is a place to ski	1111	06-jul-2018	90.4
recipe_lima_beans is a recipe	1111	06-jul-2018	99.6
english_the is a language	1111	06-jul-2018	99.2
omnipen is a drug	1111	06-jul-2018	95.7
fosphenytoin is a drug worked on by pfizer	1114	25-aug-2018	100.0
michael_curry coaches in the league nba	1116	12-sep-2018	100.0
alec_martinez plays for the team kings	1116	12-sep-2018	93.8
pakbeng is a city that lies on the river mekong	1111	06-jul-2018	100.0
glsen is a company headquartered in the city new_york	1116	12-sep-2018	100.0