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
real_work is a hobby	1111	06-jul-2018	100.0
chianti_classico_cacchiano is a wine	1111	06-jul-2018	98.5
desk_operation is an item found on the floor	1111	06-jul-2018	99.8
judge_stark is a part of the government	1111	06-jul-2018	100.0
saturn is a planet	1115	03-sep-2018	92.9
gillette_stadium is the home venue for the sports team new_england_patriots	1116	12-sep-2018	99.2
football_players is a generalization of brett_favre	1116	12-sep-2018	100.0
michael_moore directed the movie sicko	1115	03-sep-2018	99.9
tokyo is a city that lies on the river grand	1113	15-aug-2018	100.0
spurs is a sports team that won the nba_championship	1114	25-aug-2018	100.0