Unsupervised AMR-Dependency Parse Alignment
Wei-Te Chen, Martha Stone Palmer · 2017
In this paper, we introduce an Abstract Meaning Representation (AMR) to Dependency Parse aligner.Alignment is a preliminary step for AMR parsing, and our aligner improves current AMR parser performance.Our aligner involves several different features, including named entity tags and semantic role labels, and uses Expectation-Maximization training.Results show that our aligner reaches an 87.1% F-Score score with the experimental data, and enhances AMR parsing.