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

Lauritz Brandt, David Grimm, Mengfei Zhou, Yannick Versley
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
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
more » ... ered 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%.
doi:10.18653/v1/s16-1179 dblp:conf/semeval/BrandtGZV16 fatcat:ttbn75lvxfg2rhrf2gcyyv2ajy