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

Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu


Abstract
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) and 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.
Anthology ID:
2020.conll-shared.6
Volume:
Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
Month:
November
Year:
2020
Address:
Online
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
65–72
Language:
URL:
https://aclanthology.org/2020.conll-shared.6
DOI:
10.18653/v1/2020.conll-shared.6
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2020.conll-shared.6.pdf