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
equity_insurance is an economic sector	1111	06-jul-2018	99.9
zoo_ave is a zoo	1111	06-jul-2018	99.9
pigmy_splayfoot_salamander is an amphibian	1111	06-jul-2018	100.0
unprecedented__the_2000_presidential_election is an election	1111	06-jul-2018	94.1
bodrum_hotels is a park	1111	06-jul-2018	92.9
state_university is an organization also known as north_texas_state	1112	24-jul-2018	93.8
philadelphia_eagles is a sports team that plays the sport football	1116	12-sep-2018	100.0
dc is a company in the economic sector of insurance	1113	15-aug-2018	98.2
maria_cantwell represents the region washington	1113	15-aug-2018	100.0
logar is a sate or province located in the country afghanistan	1116	12-sep-2018	99.2