@inproceedings{dou-etal-2020-hit,
title = "{HIT}-{SCIR} at {MRP} 2020: Transition-based Parser and Iterative Inference Parser",
author = "Dou, Longxu and
Feng, Yunlong and
Ji, Yuqiu and
Che, Wanxiang and
Liu, Ting",
editor = "Oepen, Stephan and
Abend, Omri and
Abzianidze, Lasha and
Bos, Johan and
Haji{\v{c}}, Jan and
Hershcovich, Daniel and
Li, Bin and
O'Gorman, Tim and
Xue, Nianwen and
Zeman, Daniel",
booktitle = "Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.conll-shared.6",
doi = "10.18653/v1/2020.conll-shared.6",
pages = "65--72",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser
%A Dou, Longxu
%A Feng, Yunlong
%A Ji, Yuqiu
%A Che, Wanxiang
%A Liu, Ting
%Y Oepen, Stephan
%Y Abend, Omri
%Y Abzianidze, Lasha
%Y Bos, Johan
%Y Hajič, Jan
%Y Hershcovich, Daniel
%Y Li, Bin
%Y O’Gorman, Tim
%Y Xue, Nianwen
%Y Zeman, Daniel
%S Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F dou-etal-2020-hit
%X 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.
%R 10.18653/v1/2020.conll-shared.6
%U https://aclanthology.org/2020.conll-shared.6
%U https://doi.org/10.18653/v1/2020.conll-shared.6
%P 65-72
Markdown (Informal)
[HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser](https://aclanthology.org/2020.conll-shared.6) (Dou et al., CoNLL 2020)
ACL