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
saccheri_quadrilateral is a visualizable attribute	1111	06-jul-2018	90.0
sharp_container is an item found in the kitchen	1111	06-jul-2018	99.4
chocolate_nest_cakes_33g_each is a kind of candy	1111	06-jul-2018	97.6
contents_background is a musical instrument	1111	06-jul-2018	99.9
john_lilley is an architect	1111	06-jul-2018	100.0
pete_sampras is an athlete who beat agassi	1114	25-aug-2018	100.0
freddy_garcia plays the sport baseball	1116	12-sep-2018	96.9
the home stadium of tony_esposito is wrigley_field	1116	12-sep-2018	100.0
wockhardt is a hospital in the city bangalore	1116	12-sep-2018	96.9
russian is a language used in the university harvard	1116	12-sep-2018	99.2