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
james_babson is american	1111	06-jul-2018	100.0
n4_ch_catalina_radio_remote is an item often found in a bedroom	1111	06-jul-2018	99.9
coral_shrimp is a crustacean	1111	06-jul-2018	99.7
n625_productions_records is a record label	1111	06-jul-2018	97.5
seasonal_fruits is a food	1111	06-jul-2018	98.1
toyota is a specific automobile maker dealer in malaysia	1115	03-sep-2018	100.0
marion_jones has spouse montgomery	1116	12-sep-2018	93.8
spanish is a language used in the university indiana_university	1114	25-aug-2018	100.0
john_mcenroe is an athlete who wins us_open	1115	03-sep-2018	93.8
oil is a generalization of black_pepper	1114	25-aug-2018	100.0