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
yasmeen_ghauri is a female	1111	06-jul-2018	100.0
juan_beniquez is an athlete	1111	06-jul-2018	100.0
eu_members_states is a country	1111	06-jul-2018	98.7
winterhaven_california is an island	1111	06-jul-2018	96.7
seaway_international_bridge is a bridge	1111	06-jul-2018	97.3
biden is a U.S. politician who holds the office of vice_president	1112	24-jul-2018	93.8
jose_padilha is a person who has residence in the geopolitical location brazil	1115	03-sep-2018	100.0
spiders is an animal that is a kind of animals	1111	06-jul-2018	100.0
philadelphia is the home city of the sports team blue_jays	1116	12-sep-2018	99.6
yugoslav_federation is a country located in the geopolitical location italy	1111	06-jul-2018	93.8