Better Transition-Based AMR Parsing with a Refined Search Space
Zhijiang Guo, Wei Lu · 2018
This paper introduces a simple yet effective transition-based system for Abstract Meaning Representation (AMR) parsing.We argue that a well-defined search space for a transition system is crucial for building an effective parser.We propose to conduct the search in a refined search space based on a new compact AMR graph and an improved oracle.Our end-to-end parser achieves the state-of-the-art performance on various datasets with minimal additional information.1