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
n6_19_pm is a time	1111	06-jul-2018	100.0
wet_woodland can be a part of a landscape	1111	06-jul-2018	98.7
large_snow_storm is a weather phenomenon	1111	06-jul-2018	99.7
tv_set is an item found in the kitchen	1111	06-jul-2018	99.7
gold_disc is a visualizable attribute	1111	06-jul-2018	100.0
tedy_bruschi is an athlete who led new_england_patriots	1116	12-sep-2018	93.8
easyjet is a company that has an office in the city geneva	1112	24-jul-2018	100.0
stephen_green works for hsbc	1111	06-jul-2018	100.0
jonas_salk is a person who died on the date n1995	1116	12-sep-2018	100.0
president_reagan is a U.S. politician who holds the office of former_assistant_secretary	1115	03-sep-2018	93.8