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
search_privacy_policy is an economic sector	1111	06-jul-2018	99.8
illness_cycle is a physiological condition	1111	06-jul-2018	95.6
anthony_pace is a Canadian person	1111	06-jul-2018	90.1
zoo_hannover is a zoo	1111	06-jul-2018	99.9
study_antibiotics is an archaeon	1111	06-jul-2018	91.0
bud_norris plays the sport baseball	1116	12-sep-2018	100.0
steve001 works for god	1112	24-jul-2018	99.6
eden has spouse temple	1116	12-sep-2018	93.8
george was born in the city glasgow	1116	12-sep-2018	99.6
middle a muscle located in bodypart arms	1115	03-sep-2018	99.6