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
political_courage is a character trait	1111	06-jul-2018	99.7
halo_2 is a video game	1111	06-jul-2018	100.0
david_lamelas is a visual artist	1111	06-jul-2018	100.0
dingle_town_centre is a skyscraper	1111	06-jul-2018	99.9
wcwn is a TV station	1111	06-jul-2018	99.0
dwayne_bowe and tony_gonzalez are teammates	1111	06-jul-2018	93.8
cavaliers is a sports team that plays in the league nba	1116	12-sep-2018	100.0
billie_jean_jones has husband hank_williams	1116	12-sep-2018	100.0
place is a street in the city hague	1116	12-sep-2018	100.0
red_coat is a clothing item to go with hat	1111	06-jul-2018	99.9