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
virus_type_3 is a virus	1111	06-jul-2018	97.2
conrad_n__hilton_foundation is a part of the government	1111	06-jul-2018	100.0
pine_brook_covered_bridge is a bridge	1111	06-jul-2018	98.9
sale_sydney is a sport	1111	06-jul-2018	99.9
mere_0_5__ is a machine-learning algorithm	1111	06-jul-2018	95.2
vinny_del_negro coaches in the league nba	1116	12-sep-2018	100.0
vatican_city is a building located in the city rome	1116	12-sep-2018	93.8
cali is a city located in the country colombia	1116	12-sep-2018	93.8
joseph_conrad wrote the book the_secret_agent	1111	06-jul-2018	100.0
top is a beverage made from juice	1113	15-aug-2018	100.0