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SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
In this paper, we describe our participating systems in the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). The task includes five frameworks for graph-based meaning representations, i.e., DM, PSD, EDS, UCCA, and AMR. One common characteristic of our systems is that we employ graph-based methods instead of transition-based methods when predicting edges between nodes. For SDP, we jointly perform edgedoi:10.18653/v1/k19-2014 dblp:conf/conll/ZhangJXCWLZ19 fatcat:vv3zaljamnaznpipwxhrbcpo2i