HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference ParserLink

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 sub-systems:

  • transition-based parser for Flavor (1) frameworks (UCCA, EDS, PTG)
  • iterative inference parser for Flavor (2) frameworks (DRG, AMR).

In the final evaluation, our system is ranked 3rd 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.