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
facebook is a website	1111	06-jul-2018	96.9
dynamin_2 is a protein	1111	06-jul-2018	100.0
gaetano_bellei is an architect	1111	06-jul-2018	100.0
computer_chairs is an item found on the floor	1111	06-jul-2018	100.0
secondary_school_students is a victim	1111	06-jul-2018	100.0
president_jimmy_carter is a U.S. politician who holds the office of us_secretary	1115	03-sep-2018	100.0
pacific_tsunami_warning_centre is the source of the event strong_quake_jolts_chile_s_north__no_major_damage	1113	15-aug-2018	100.0
closet is often found in site	1116	12-sep-2018	93.8
berkshire_hathaway is a company in the economic sector of insurance	1114	25-aug-2018	100.0
bon_secours is a hospital in the city richmond	1116	12-sep-2018	93.8