Semantic evaluation metric conforming to AMR theory (SEMCAT): a new similarity metric for abstract meaning representation

In this paper, we propose SEMCAT (Semantic Evaluation Metric Conforms to AMR Theory), a novel similarity measuring method for Abstract Meaning Representation (AMR). AMR is a semantic structure used to explicitly express the truth-conditional meaning aspect of a natural language sentence. Our evaluation strategy is mainly designed to reflect the theoretical basis of AMR. Specifically, based on the concept of semantic similarity derived from neo-Davidsonian semantics, we enhance the $$\textsc {Sma