Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures

Yufei Chen, Yajie Ye, Weiwei Sun


Abstract
We design, implement and evaluate two semantic parsers, which represent factorization- and composition-based approaches respectively, for Elementary Dependency Structures (EDS) at the CoNLL 2019 Shared Task on Cross-Framework Meaning Representation Parsing. The detailed evaluation of the two parsers gives us a new perception about parsing into linguistically enriched meaning representations: current neural EDS parsers are able to reach an accuracy at the inter-annotator agreement level in the same-epoch-and-domain setup.
Anthology ID:
K19-2016
Volume:
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
Month:
November
Year:
2019
Address:
Hong Kong
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
166–176
Language:
URL:
https://aclanthology.org/K19-2016
DOI:
10.18653/v1/K19-2016
Bibkey:
Cite (ACL):
Yufei Chen, Yajie Ye, and Weiwei Sun. 2019. Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 166–176, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures (Chen et al., CoNLL 2019)
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PDF:
https://aclanthology.org/K19-2016.pdf