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
heartland_area_federal_credit_union is a credit union	1111	06-jul-2018	100.0
rick_johnson is a chef	1111	06-jul-2018	100.0
icgw is a conference	1111	06-jul-2018	99.1
nursery_road is a street	1111	06-jul-2018	100.0
romantic_evening_beginning is a physical action	1111	06-jul-2018	97.1
esteban_loaiza is an athlete that flied out to position center	1111	06-jul-2018	100.0
president_bill_clinton is a U.S. politician who holds the office of deputy_secretary	1116	12-sep-2018	96.9
chad_hurley works for youtube	1111	06-jul-2018	100.0
sean_penn starred in the movie into_the_wild	1115	03-sep-2018	93.8
lg_electronics_inc was responsible for lg_2014_smart_tvs__everything_you_need_to_know	1115	03-sep-2018	100.0