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Anaphora resolution is a fundamental problem in natural language processing. In this paper, we cast an anaphora resolution problem to a statistical pointing problem. To address the problem, we use the Pointer Networks model for a neural sequential anaphora pointing architecture. The proposed model automatically captures syntactic and semantic features to resolve anaphora by encoding the input tokens...