Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
late_night_television is an item often found in a bedroom	1111	06-jul-2018	99.8
les_ulis is a visualizable scene	1111	06-jul-2018	99.4
mosquito_cave is a cave	1111	06-jul-2018	100.0
n9_2 is a term used by physicists	1111	06-jul-2018	100.0
right_lateral_aspect is a part of the body	1111	06-jul-2018	92.3

sonny_bono is the leader of the city palm_springs	1116	12-sep-2018	99.2
lemon is an agricultural product that is usually cooked with white_pepper	1113	15-aug-2018	96.9
mary is the parent of new_orleans_saints	1115	03-sep-2018	99.6
boston is the home city of the sports team boston_college	1116	12-sep-2018	100.0
amway_arena is a stadium or event venue located in the city orlando	1116	12-sep-2018	96.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts