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
tea__oolong_tea is an agricultural product	1111	06-jul-2018	99.9
the_motorcyclist_s_post is a political blog	1111	06-jul-2018	99.1
the_friend is a publication	1111	06-jul-2018	90.7
inflation_report is a physical characteristic	1111	06-jul-2018	100.0
two_refrain is a parlour game	1111	06-jul-2018	92.3
hsbc is a bank in china	1111	06-jul-2018	100.0
article has citizenship in the country abm_treaty	1114	25-aug-2018	100.0
ski is a sport with fans in the country us	1115	03-sep-2018	100.0
spider_mites is a type of bugs	1111	06-jul-2018	99.7
francis_moore was born in the state or province new_york	1116	12-sep-2018	100.0