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
kymulga_mill_and_covered_bridge is a bridge	1111	06-jul-2018	99.2
colorado_community_revitalization_association is a professional organization	1111	06-jul-2018	90.9
roasted_turkey_breast is a type of meat	1111	06-jul-2018	99.8
scott_d__tingle is an astronaut	1111	06-jul-2018	100.0
john_wishart is a person	1111	06-jul-2018	99.9
terry has wife jean	1116	12-sep-2018	93.8
bmw has acquired mini	1114	25-aug-2018	93.8
henry represents the region states	1113	15-aug-2018	98.4
toni_morrison contributed to the creative work song_of_solomon	1112	24-jul-2018	93.8
dsc_communications hired john_hendricks	1113	15-aug-2018	100.0