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Most successful Entity Linking (EL) methods aim to link mentions to their referent entities in a structured Knowledge Base (KB) by comparing their respective contexts, often using similarity measures. While the KB structure is given, current methods have suffered from impoverished information representations on the mention side. In this paper, we demonstrate the effectiveness of Abstract Meaning Representation (AMR) (Banarescu et al., 2013) to select high quality sets of entity "collaborators"doi:10.3115/v1/n15-1119 dblp:conf/naacl/PanCHJK15 fatcat:go37vvtocvfa5p2eho3jw2z3yy