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
justice_peter_cory is a judge	1111	06-jul-2018	98.3
ocala_airport is a transportation port	1111	06-jul-2018	100.0
blue_ribbon_fruit_cake is a baked good	1111	06-jul-2018	100.0
jimmy_wynn is a U.S. politician	1111	06-jul-2018	99.9
clear_waves is a weather phenomenon	1111	06-jul-2018	98.5
matthew_l__wald works for times	1111	06-jul-2018	96.9
modern_hebrew is the language of the country israel	1114	25-aug-2018	100.0
english is a language used in the university brandeis_university	1113	15-aug-2018	93.8
haneda_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
gmc is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0