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
gap is an organization	1114	25-aug-2018	100.0
do_you_hear_what_i_hear is a song	1111	06-jul-2018	100.0
manor_seafood_restaurant is a restaurant	1111	06-jul-2018	100.0
marriot_renaissance_center is a skyscraper	1111	06-jul-2018	99.9
n2012_crop_year is a date	1111	06-jul-2018	93.7
tom_barrett is the leader of the city downtown_milwaukee	1116	12-sep-2018	100.0
william_jefferson_clinton is a U.S. politician endorsed by the U.S. politician bush	1113	15-aug-2018	93.8
john_donahoe is a top member of ebay	1116	12-sep-2018	93.8
states is a state or province located in the geopolitical location nueva_york	1114	25-aug-2018	100.0
the sport baseball was played at n1999_world_series	1116	12-sep-2018	100.0