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
tougas_family_farm is a farm	1111	06-jul-2018	99.8
anthony_chisholm is a commedian	1111	06-jul-2018	100.0
pool_swimming_pools is a sport	1111	06-jul-2018	99.9
californian_hotel is a hotel	1111	06-jul-2018	94.4
tv_set is an item found in the kitchen	1111	06-jul-2018	99.7
david_miller is a person who has residence in the geopolitical location toronto	1115	03-sep-2018	100.0
holy_trinity and mary are family members	1111	06-jul-2018	93.8
fmr_corp_ is headquartered in the state or province massachusetts	1116	12-sep-2018	100.0
terry001 is a person who moved to the state california	1115	03-sep-2018	98.4
silvestre_herrera died in the state or province arizona	1116	12-sep-2018	100.0