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
homeland_security_chief is a kind of office held by a politician	1111	06-jul-2018	94.7
stunning_islands can be a part of a landscape	1111	06-jul-2018	99.1
beach_fishing is a hobby	1111	06-jul-2018	100.0
hardyston_township is a county	1111	06-jul-2018	100.0
premeditated_homicide ia a crime or charge	1111	06-jul-2018	96.2

national_maritime_museum is a museum in the city central_london	1116	12-sep-2018	98.4
paul001 contributed to the creative work acts	1114	25-aug-2018	100.0
president_obama is a person who belongs to the organization house	1112	24-jul-2018	100.0
emerald_lake is a lake in the state or province british_columbia	1116	12-sep-2018	100.0
eve is the mother of seth	1114	25-aug-2018	96.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts