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This paper illustrates how a combination of information extraction , machine learning, and NLP corpus annotation practice was applied to a problem of ranking vulnerability of structures (service boxes, manholes) in the Manhattan electrical grid. By adapting NLP corpus annotation methods to the task of knowledge transfer from domain experts, we compensated(More)
We present a visualization framework for analyzing the Consolidated Edison Company of New York (Con Edison) trouble tickets for the Manhattan electrical distribution system. The Con Edison Emergency Control System (ECS) is a work management tool that documents all events that occur in the electrical distribution system. The trouble ticket generated from ECS(More)
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