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
angel_mounds_state_historic_site is a monument	1111	06-jul-2018	99.8
_1999 is a year	1111	06-jul-2018	100.0
overfierceness is a physical characteristic	1113	15-aug-2018	100.0
cape_may_hotels is a park	1111	06-jul-2018	90.2
the_miz is a musical artist	1111	06-jul-2018	99.6
artillery_shells is a type of weapon produced in israel	1114	25-aug-2018	100.0
lake_davenport is a lake in the state or province florida	1116	12-sep-2018	100.0
computer looks like cable	1111	06-jul-2018	93.8
epic_systems is a company also known as epic	1114	25-aug-2018	93.8
washington is a company in the economic sector of insurance	1113	15-aug-2018	99.2