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
ronneby is a visualizable scene	1111	06-jul-2018	99.2
community_services_director is a profession	1111	06-jul-2018	96.4
twicon is a convention	1111	06-jul-2018	99.8
two_screens is a parlour game	1111	06-jul-2018	92.3
giant_octopus is a mollusk	1111	06-jul-2018	100.0
joseph_stiglitz held the position of economist	1114	25-aug-2018	93.8
national is a bank in bangladesh	1114	25-aug-2018	100.0
the sports team chelsea was the winner of premier_league	1116	12-sep-2018	98.4
bmw terminated the employment of norbert_reithofer	1114	25-aug-2018	100.0
minneapolis_star_tribune is headquartered in the city new_york	1116	12-sep-2018	93.8