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
turquoise_fronted_parrot is a bird	1111	06-jul-2018	100.0
may_52 is a date	1111	06-jul-2018	100.0
open_doors is an item often found in a hallway	1111	06-jul-2018	99.9
billie_johnson is a Canadian person	1111	06-jul-2018	90.9
michael_hogan is a CEO	1111	06-jul-2018	100.0
nueva_york terminated the employment of rudy_giuliani	1114	25-aug-2018	100.0
triangle has shape line	1112	24-jul-2018	93.8
cardinals_27_23 is a sports team that won the nfl_championship	1115	03-sep-2018	100.0
deep_creek_lake is a lake in the state or province maryland	1116	12-sep-2018	100.0
n3 is the number of people injured in the event n2009_taconic_state_parkway_crash	1116	12-sep-2018	100.0