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
alignment_capacity is a character trait	1111	06-jul-2018	99.1
rory_kennedy is a U.S. politician	1111	06-jul-2018	99.9
siberian_shamanism is a religion	1111	06-jul-2018	100.0
sorrento_lemons is a fruit	1111	06-jul-2018	99.0
_860 is a year	1111	06-jul-2018	100.0
bears is an animal that preys on larger_animals	1112	24-jul-2018	100.0
administration is headquartered in the country usa	1116	12-sep-2018	100.0
arizona_senator is a person who has age nonneginteger:n72	1116	12-sep-2018	100.0
isaac has wife rebecca	1116	12-sep-2018	96.9
rafael_furcal is an athlete who led cardinals_27_23	1116	12-sep-2018	93.8