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
students__ is a victim	1111	06-jul-2018	100.0
kathryn_dunn is an Australian person	1111	06-jul-2018	99.9
mark_bailey is a Mexican person	1111	06-jul-2018	100.0
section_1_3 is a legislative bill	1111	06-jul-2018	100.0
new_york_s_governor is a kind of office held by a politician	1111	06-jul-2018	100.0
new_orleans is the home city of the sports team lsu	1116	12-sep-2018	100.0
european_countries is a generalization of switzerland_switzerland	1116	12-sep-2018	100.0
camden_yards is the home venue for the sports team mlb_presenting_baltimore_orioles	1116	12-sep-2018	100.0
jrue_holiday plays for the team ucla	1116	12-sep-2018	93.8
president_reagan is a politician who holds the office of former_assistant_secretary	1115	03-sep-2018	96.9