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
one_suite is a visualizable object	1111	06-jul-2018	98.6
lucky_balaraman is a commedian	1111	06-jul-2018	91.2
nissan_1200_engines is a kind of automobile engine	1111	06-jul-2018	100.0
love_walked_in is a song	1111	06-jul-2018	100.0
phone_texas is a board game	1111	06-jul-2018	100.0
state is a person who belongs to the organization senate	1112	24-jul-2018	98.4
joe_strummer is a musician who is part of clash	1111	06-jul-2018	99.8
jacksonville_jaguars hired mike_mularkey	1112	24-jul-2018	93.8
favre plays the athletic team position player	1113	15-aug-2018	99.7
two is the number of people injured in the event one_person_killed_in_head_on_crash	1116	12-sep-2018	100.0