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
music_location is a hobby	1111	06-jul-2018	100.0
the_paul_o_grady_show is a TV show	1111	06-jul-2018	100.0
social_report is a physical characteristic	1111	06-jul-2018	100.0
museum_het_rembrandthuis is a museum	1111	06-jul-2018	92.6
refund_policy is a political issue	1111	06-jul-2018	99.9
princess_margaret is a person born on the date n1930	1116	12-sep-2018	100.0
spiders is an arthropod as well as invertebrates also is	1111	06-jul-2018	96.9
arsenal is a type of weapon produced in russia	1113	15-aug-2018	100.0
animals is an agricultural product produced in __america	1116	12-sep-2018	100.0
spiders is called widow_spiders	1111	06-jul-2018	100.0