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
poker_guidebook is a cardgame	1111	06-jul-2018	91.5
christmas_shapes is a visualizable attribute	1111	06-jul-2018	90.6
arizona_scorpion is an arachnid	1111	06-jul-2018	100.0
osorno_volcano is a mountain range	1111	06-jul-2018	99.9
city_hall_art_gallery is a museum	1111	06-jul-2018	100.0
kevin_dubrow is a musician who is part of quiet_riot	1113	15-aug-2018	100.0
terry_bowden coaches the team akron	1116	12-sep-2018	96.9
fluconazole is a drug worked on by pfizer	1114	25-aug-2018	100.0
football_players is a generalization of chad_pennington	1116	12-sep-2018	100.0
keith_urban has wife nicole_kidman	1116	12-sep-2018	100.0