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
krystina_bean is a legume	1111	06-jul-2018	97.8
_231 is a year	1111	06-jul-2018	100.0
inside_ankle_bone is a bone	1113	15-aug-2018	97.9
paul_wallace ia a celebrity	1111	06-jul-2018	100.0
big_eyed_bamboo_snake is a reptile	1111	06-jul-2018	100.0
ricky_williams is an athlete who wins heisman_trophy	1113	15-aug-2018	100.0
squirrels is an animal that eats seeds	1115	03-sep-2018	100.0
deutsche_bank has acquired bank___trust	1114	25-aug-2018	98.4
satyam_computer_services_ltd terminated the employment of ramalinga_raju	1112	24-jul-2018	100.0
tom_grieve is the parent of ben_grieve	1115	03-sep-2018	93.8