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
immanuel_and_helen_olshan_texas_music_festival is a music festival	1111	06-jul-2018	100.0
gmc_sierra_2500_engines is a kind of automobile engine	1111	06-jul-2018	100.0
jane_clayson is a female	1111	06-jul-2018	99.9
collinsville_hotels is a park	1111	06-jul-2018	90.5
india_fisher is a male	1111	06-jul-2018	90.7
cairo is the capital city of the country egypt	1116	12-sep-2018	100.0
flowers is an agricultural product produced in india	1115	03-sep-2018	100.0
mahalaleel_eight_hundred and cainan are family members	1113	15-aug-2018	98.4
cebu_city is a city located in the country the_philippines	1116	12-sep-2018	100.0
rob_ford is the leader of the city toronto	1116	12-sep-2018	100.0