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
deep_pond is a trail	1111	06-jul-2018	100.0
optical_beam is a perception event	1111	06-jul-2018	97.6
spanish_metal is a genre of music	1111	06-jul-2018	99.5
poker_star_texas is a board game	1111	06-jul-2018	100.0
second_degree_manslaughter ia a crime or charge	1111	06-jul-2018	100.0
little_gas is a generalization of nuclear_missile	1111	06-jul-2018	100.0
the sports team france was the winner of n2000_european_cup	1116	12-sep-2018	100.0
tuna is a fish that can be served with the food dinner in a meal (or dish)	1116	12-sep-2018	97.9
angel_villalona plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with onions	1114	25-aug-2018	100.0