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
cassinos_on_line_cassinos_on_line_cassinos_on_line is a cardgame	1111	06-jul-2018	99.9
pam_ball is american	1111	06-jul-2018	91.3
cello_thrash_metal is a genre of music	1111	06-jul-2018	99.3
overfierceness is a physical characteristic	1113	15-aug-2018	100.0
gap is an organization	1114	25-aug-2018	100.0
bed is often found in bathroom_unit	1111	06-jul-2018	93.8
sky_harbor is an airport in the city downtown_phoenix	1116	12-sep-2018	100.0
moscow is the capital city of the country russia	1116	12-sep-2018	100.0
large_herds is a generalization of horses	1111	06-jul-2018	93.8
edward_johnson is a politician who holds the office of president	1114	25-aug-2018	100.0