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
william_nelson is a journalist	1111	06-jul-2018	100.0
ciena is an organization	1114	25-aug-2018	96.0
seeley_lake is a lake	1111	06-jul-2018	100.0
larsemann_hills is a mountain range	1111	06-jul-2018	99.9
simon_s_rock_college is a school	1116	12-sep-2018	99.6
atlanta is the home city of the sports team georgia_state	1116	12-sep-2018	100.0
peavy plays the sport football	1116	12-sep-2018	100.0
paces_ferry_road is a street in the city atlanta	1116	12-sep-2018	93.8
stephen_bollenbach is the CEO of hilton	1116	12-sep-2018	100.0
luis_castillo is an athlete that flied out to position center	1111	06-jul-2018	100.0