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
royal_melbourne_zoological_gardens is a zoo	1111	06-jul-2018	99.8
krk is a visualizable scene	1111	06-jul-2018	99.3
karlynn_baker is an African person	1111	06-jul-2018	90.5
left_heart is a part of the body	1111	06-jul-2018	100.0
n2006___this_study is a research project	1111	06-jul-2018	98.5
animals is an agricultural product produced in __america	1116	12-sep-2018	100.0
unknown is the attacker in the event aleppo_university_bombings	1114	25-aug-2018	100.0
ralph is a politician who holds the office of president	1114	25-aug-2018	100.0
national is a bank in austria	1114	25-aug-2018	100.0
ryan_phillippe starred in the movie cruel_intentions	1115	03-sep-2018	98.4