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
honey_brown_hair is a personal care product	1111	06-jul-2018	98.5
ponce_museum_of_art is a museum	1111	06-jul-2018	100.0
second_straight_loss is an event outcome	1111	06-jul-2018	99.9
inflation_report is a physical characteristic	1111	06-jul-2018	100.0
gastonia_north_carolina is an island	1111	06-jul-2018	96.2
annise_parker is the leader of the city houston	1116	12-sep-2018	98.4
the country france_france uses the currency euros	1116	12-sep-2018	100.0
nueva_york is the home city of the sports team brooklyn_college	1116	12-sep-2018	96.9
dwayne_bowe and tony_gonzalez are teammates	1111	06-jul-2018	93.8
federal_housing_authority is an organization known by the acronym fha	1114	25-aug-2018	100.0