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
lower_than_atlantis is a musical artist	1111	06-jul-2018	96.2
australasian_research_management_society is a professional organization	1111	06-jul-2018	90.7
arts_environments is a political issue	1111	06-jul-2018	99.9
n8_5_victory is an event outcome	1111	06-jul-2018	100.0
alignment_measurement is a cognitive action	1111	06-jul-2018	92.7
gavin_grant has spouse link	1116	12-sep-2018	93.8
westminster_abbey is a place of worship that practices the religion of christianity	1116	12-sep-2018	100.0
ucla was the looser of n2006_ncaa_basketball_championship	1116	12-sep-2018	100.0
emend is a drug worked on by merck	1114	25-aug-2018	99.2
bernhard_schlink held the position of author	1116	12-sep-2018	100.0