@inproceedings{cao-etal-2019-amazon,
title = "{A}mazon at {MRP} 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring",
author = "Cao, Jie and
Zhang, Yi and
Youssef, Adel and
Srikumar, Vivek",
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/K19-2013",
doi = "10.18653/v1/K19-2013",
pages = "138--148",
abstract = "This paper describes the system submission of our team Amazon to the shared task on Cross Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). Via extensive analysis of implicit alignments in AMR, we recategorize five meaning representations (MRs) into two classes: Lexical- Anchoring and Phrasal-Anchoring. Then we propose a unified graph-based parsing framework for the lexical-anchoring MRs, and a phrase-structure parsing for one of the phrasal- anchoring MRs, UCCA. Our system submission ranked 1st in the AMR subtask, and later improvements show promising results on other frameworks as well.",
}
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%0 Conference Proceedings
%T Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring
%A Cao, Jie
%A Zhang, Yi
%A Youssef, Adel
%A Srikumar, Vivek
%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 cao-etal-2019-amazon
%X This paper describes the system submission of our team Amazon to the shared task on Cross Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL). Via extensive analysis of implicit alignments in AMR, we recategorize five meaning representations (MRs) into two classes: Lexical- Anchoring and Phrasal-Anchoring. Then we propose a unified graph-based parsing framework for the lexical-anchoring MRs, and a phrase-structure parsing for one of the phrasal- anchoring MRs, UCCA. Our system submission ranked 1st in the AMR subtask, and later improvements show promising results on other frameworks as well.
%R 10.18653/v1/K19-2013
%U https://aclanthology.org/K19-2013
%U https://doi.org/10.18653/v1/K19-2013
%P 138-148
Markdown (Informal)
[Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring](https://aclanthology.org/K19-2013) (Cao et al., CoNLL 2019)
ACL