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
safeguards_violations ia a crime or charge	1111	06-jul-2018	93.1
n21_2_years is a non-disease physiological condition	1111	06-jul-2018	94.3
tunisian_republic is a country	1111	06-jul-2018	95.7
chico_area is a building	1111	06-jul-2018	95.3
first_room is a kind of room	1111	06-jul-2018	99.3
qwest is a tourist attraction in the city seattle	1116	12-sep-2018	96.1
leda is the mother of castor	1115	03-sep-2018	100.0
drew_bledsoe is an athlete who led new_england_patriots	1116	12-sep-2018	100.0
rolls_royce was responsible for rolls_royce_launches_ghost_series_ii	1114	25-aug-2018	100.0
gary_sheffield plays the sport baseball	1116	12-sep-2018	99.2