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
sub_meter_lymph_nodes is a part of the body	1111	06-jul-2018	100.0
papper is a visualizable thing	1111	06-jul-2018	98.7
john_madsen is a chef	1111	06-jul-2018	100.0
baby_tableware is an item found on a table	1111	06-jul-2018	99.5
two_related_viruses is a virus	1111	06-jul-2018	97.2
jeremy_bates coaches in the league nfl	1116	12-sep-2018	100.0
william held the position of king	1116	12-sep-2018	100.0
isaiah and lord are siblings	1113	15-aug-2018	93.8
oscar_wilde wrote the book the_picture_of_dorian_grey	1113	15-aug-2018	96.9
kbcw is a company that has an office in the city san_francisco	1112	24-jul-2018	100.0