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
phone_texas is a board game	1111	06-jul-2018	100.0
big_wind_storm is a weather phenomenon	1111	06-jul-2018	98.3
vi_a is a geopolitical entity that is an organization	1111	06-jul-2018	94.9
n11_29 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
duvet_cover is an item often found in a bathroom	1111	06-jul-2018	99.9
kevin_dubrow is a musician who is part of quiet_riot	1113	15-aug-2018	100.0
miami_international is an attraction that will be fall in city miami	1116	12-sep-2018	100.0
ford is a company that produces escort	1114	25-aug-2018	100.0
albany is the capital city of the state or province new_york_state	1116	12-sep-2018	100.0
hia_farrow belongs to the ethnic group american	1116	12-sep-2018	100.0