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
sympho_gothic_metal is a genre of music	1111	06-jul-2018	99.8
crafts_home is a location	1114	25-aug-2018	99.4
butylcyclohexanone is a chemical	1111	06-jul-2018	100.0
em_poker_for_advanced_players is a non-sports, non-electronic game	1111	06-jul-2018	100.0
hampton_inn_milford is a place to ski	1111	06-jul-2018	96.7
smell is a subpart of the body within system	1111	06-jul-2018	96.9
football_players is a generalization of tony_romo	1113	15-aug-2018	100.0
boston is the home city of the sports team baltimore_orioles	1116	12-sep-2018	100.0
u_s__marine_corps is headquartered in the country u_s_	1116	12-sep-2018	99.9
furbearers is an animal that preys on raccoon	1113	15-aug-2018	100.0