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
controversy_process is a cognitive action	1111	06-jul-2018	99.9
locked_car_door is an item often found in a hallway	1111	06-jul-2018	99.9
peter_anthony_defazio is a U.S. politician	1111	06-jul-2018	99.9
sudden_unexpected_loss is an event outcome	1111	06-jul-2018	99.9
tobias_stretch is a director	1111	06-jul-2018	90.6
carbon is a chemical that is a kind of companies	1111	06-jul-2018	99.2
national is a bank in greece	1114	25-aug-2018	100.0
terry is a person who graduated from the university college	1115	03-sep-2018	100.0
the sports leage nfl uses the venue invesco	1114	25-aug-2018	100.0
holly_madison is a person who has age 28	1116	12-sep-2018	100.0