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
room___hallway is a kind of room	1111	06-jul-2018	99.9
armstrong_street is a street	1111	06-jul-2018	100.0
texas_fish__game_magazine is a magazine	1111	06-jul-2018	99.8
green_door is an item often found in a hallway	1111	06-jul-2018	100.0
bristol_area is a monument	1111	06-jul-2018	100.0
barry_sanders plays in the league nfl	1116	12-sep-2018	100.0
local_birds is an animal that eats seeds	1115	03-sep-2018	100.0
products001 is a product produced in u_s_a_	1116	12-sep-2018	98.4
bird_watching is a sport with fans in the country __america	1116	12-sep-2018	100.0
lewis wrote the book chronicles_of_narnia	1113	15-aug-2018	93.8