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
two_three_years is a non-disease physiological condition	1111	06-jul-2018	92.9
islamic_guerrillas is a terrorist organization	1111	06-jul-2018	99.3
capex_investment is an economic sector	1111	06-jul-2018	100.0
prescription_dell is a muscle	1111	06-jul-2018	99.8
not_cias is a currency	1111	06-jul-2018	100.0
vodafone terminated the employment of arun_sarin	1114	25-aug-2018	100.0
ashton_kutcher has wife moore	1116	12-sep-2018	98.4
keiichi_yabu plays the sport baseball	1116	12-sep-2018	99.8
sheetrit is a person who has residence in the geopolitical location israel	1114	25-aug-2018	100.0
jfk_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0