@inproceedings{chen-etal-2019-peking,
title = "Peking at {MRP} 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures",
author = "Chen, Yufei and
Ye, Yajie and
Sun, Weiwei",
editor = "Oepen, Stephan and
Abend, Omri and
Hajic, Jan and
Hershcovich, Daniel and
Kuhlmann, Marco and
O{'}Gorman, Tim and
Xue, Nianwen",
booktitle = "Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning",
month = nov,
year = "2019",
address = "Hong Kong",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/K19-2016/",
doi = "10.18653/v1/K19-2016",
pages = "166--176",
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."
}
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<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.</abstract>
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%0 Conference Proceedings
%T Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures
%A Chen, Yufei
%A Ye, Yajie
%A Sun, Weiwei
%Y Oepen, Stephan
%Y Abend, Omri
%Y Hajic, Jan
%Y Hershcovich, Daniel
%Y Kuhlmann, Marco
%Y O’Gorman, Tim
%Y Xue, Nianwen
%S Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong
%F chen-etal-2019-peking
%X 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.
%R 10.18653/v1/K19-2016
%U https://aclanthology.org/K19-2016/
%U https://doi.org/10.18653/v1/K19-2016
%P 166-176
Markdown (Informal)
[Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures](https://aclanthology.org/K19-2016/) (Chen et al., CoNLL 2019)
ACL