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
serious_traffic_offenses ia a crime or charge	1111	06-jul-2018	100.0
pepperberries is an agricultural product	1111	06-jul-2018	99.1
_999 is a visualizable attribute	1111	06-jul-2018	93.6
american_partners_federal_credit_union is a bank	1111	06-jul-2018	100.0
clay_rapada is an athlete	1111	06-jul-2018	100.0
bed is often found in one_bed_room	1111	06-jul-2018	100.0
empire_state_building is a building located in the city nueva_york	1116	12-sep-2018	100.0
kia is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
joel_coen directed the movie fargo	1114	25-aug-2018	98.4
barbara_boxer was born in the country usa	1116	12-sep-2018	100.0