HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser
Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu · 2020
This paper describes our submission system (HIT-SCIR) for the CoNLL 2020 shared task: Cross-Framework and Cross-Lingual Meaning Representation Parsing.The task includes five frameworks for graph-based meaning representations, i.e., UCCA, EDS, PTG, AMR, and DRG.Our solution consists of two subsystems: transition-based parser for Flavor (1) frameworks (UCCA, EDS, PTG) and iterative inference parser for Flavor (2) frameworks (DRG, AMR).In the final evaluation, our system is ranked 3 rd among the seven team both in Cross-Framework Track and Cross-Lingual Track, with the macro-averaged MRP F1 score of 0.81/0.69.