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• Doozer
  ...loss of relevant knowledge. This step reduces the depth and increases the fan-out of the domain model. Together with the previous step it reduces the num
  39 KB (6,172 words) - 22:36, 11 January 2013
• Knowledge will Propel Machine Understanding of Content
  # Ferrucci, D., Brown, E., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A.A., Lally, A., Murdock, J.W., Nyberg, E., Pra
  48 KB (7,173 words) - 13:20, 13 May 2018
• TRU-Pain
  Graduate Students: [https://www.linkedin.com/in/fan-yang-4536425a/ Fan Yang] (Kno.<nowiki>e.si</nowiki>s, Wright State University); [https://www.l ...018/09/28/by-the-numbers-2/ By the numbers: Wright State graduate students Fan Yang and Michele Miller win first place in prestigious Datathon competition
  12 KB (1,680 words) - 19:36, 17 October 2018