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
chapter_7_80 is a legislative bill	1111	06-jul-2018	94.8
n10_8_seconds is a parlour game	1111	06-jul-2018	100.0
christian_jewelry is a religion	1111	06-jul-2018	100.0
electric_pizza_pan is an item found in the kitchen	1111	06-jul-2018	99.7
emmanuel_mendonca is a Canadian person	1111	06-jul-2018	91.5
phil_rizzuto is an athlete that flied out to position center	1111	06-jul-2018	100.0
dutch is the language of the country aruba	1115	03-sep-2018	96.9
sweets is an agricultural product produced in india	1115	03-sep-2018	99.5
meyer is a person who graduated from the university college	1114	25-aug-2018	93.8
cattle is an animal that is a kind of larger_animals	1112	24-jul-2018	97.0