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
craven_community_college_havelock_center is a train station	1111	06-jul-2018	99.7
contact_iam is a book	1111	06-jul-2018	96.0
iron_creek_farm is a farm	1111	06-jul-2018	99.8
gmc_yukon_cars is a kind of vehicle	1111	06-jul-2018	99.4
gary_stefan is a North American person	1111	06-jul-2018	91.6
mary is the parent of holy_trinity	1111	06-jul-2018	100.0
pacific is a city also known as san_francisco	1112	24-jul-2018	93.8
enoch and jared are family members	1113	15-aug-2018	100.0
mammals is an animal that eats fruits	1114	25-aug-2018	100.0
oracle has acquired siebel_systems	1114	25-aug-2018	100.0