Never-Ending Language Learning

Never-Ending Language Learning (NELL) system is a semantic machine learning system that as of 2010 was being developed by a research team at Carnegie Mellon University, and supported by grants from DARPA, Google, NSF, and CNPq with portions of the system running on a supercomputing cluster provided by Yahoo! . == Process and goals == NELL was programmed by its developers to be able to identify a basic set of fundamental semantic relationships between a few hundred predefined categories of data, such as cities, companies, emotions and sports teams.

Source: Wikipedia — Never-Ending Language Learning (CC BY-SA 4.0)