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
sale_pay is a sport	1111	06-jul-2018	100.0
germany___cell is a country	1111	06-jul-2018	99.7
n3_2_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
cincinnati_ is a visualizable scene	1111	06-jul-2018	99.6
poker_stes is a cardgame	1111	06-jul-2018	91.7
sony is related to ps4	1115	03-sep-2018	100.0
tata has acquired corus	1112	24-jul-2018	98.4
bouchon is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
football_players is a generalization of tony_romo	1113	15-aug-2018	100.0
port_clements is a city also known as columbia	1111	06-jul-2018	93.8