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
shavonda_bean is a legume	1111	06-jul-2018	97.9
n2_400 is a machine-learning algorithm	1111	06-jul-2018	99.4
carthage_republican_tribune is a blog	1111	06-jul-2018	100.0
paul_scherrer is a Canadian person	1111	06-jul-2018	100.0
central_star_credit_union is a bank	1111	06-jul-2018	100.0
haugesund is a city located in the country norway	1116	12-sep-2018	93.8
steelers is an organization also known as former_green_bay_packers	1113	15-aug-2018	99.6
the home stadium of matt_murton is wrigley_field	1116	12-sep-2018	100.0
the loosing score of n2006_sugar_bowl was nonneginteger:n35	1116	12-sep-2018	100.0
n2006_world_series happened on the date october_2006	1116	12-sep-2018	100.0