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
essential_oils is a video game	1111	06-jul-2018	100.0
blackfin_hookear_sculpin is a fish	1111	06-jul-2018	100.0
baia_domizia is a city	1111	06-jul-2018	99.8
questions_frequent_questions is a cognitive action	1111	06-jul-2018	100.0
infraspinatus_tendon is a part of the body	1111	06-jul-2018	98.5
bacon is related to pig	1114	25-aug-2018	100.0
richard held the position of king	1116	12-sep-2018	100.0
fortis is a bank that bought abn_amro	1114	25-aug-2018	100.0
bucharest is the capital city of the country romania	1116	12-sep-2018	100.0
hampton_inn is a hotel in the city toronto	1116	12-sep-2018	93.8