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We describe our submission system to the SemEval-2016 Task 8 on Abstract Meaning Representation (AMR) Parsing. We attempt to improve AMR parsing by exploiting preposition semantic role labeling information retrieved from a multi-layer feed-forward neural network. Prepositional semantics is included as features into the transition-based AMR parsing system CAMR (Wang, Xue, and S. Pradhan 2015a). The inclusion of the features modifies the behavior of CAMR when creating meaning representations triggered by prepositional semantics. Despite the usefulness of preposition semantic role labeling information for AMR parsing, it does not have an impact to the parsing F-score of CAMR, but reduces the parsing recall by 1%.

ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network