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
tunkhannock_creek is a river	1111	06-jul-2018	100.0
three_texas is a board game	1111	06-jul-2018	100.0
river_kayaking is a sport	1111	06-jul-2018	99.9
fuzzy_clustering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
holdem_poker_version is a cardgame	1111	06-jul-2018	99.9
tony_gonzalez and dwayne_bowe are teammates	1111	06-jul-2018	93.8
george_mason_university_school_of_law is a sports team also known as state_university	1111	06-jul-2018	93.8
mexico is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	100.0
samuel and moses are siblings	1112	24-jul-2018	93.8
baseball_players is a generalization of carlos_santana	1116	12-sep-2018	98.4