Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring

Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar

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.
Anthology ID:
K19-2013
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
Editors:
Stephan Oepen, Omri Abend, Jan Hajic, Daniel Hershcovich, Marco Kuhlmann, Tim O’Gorman, Nianwen Xue
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
138–148
Language:
URL:
https://aclanthology.org/K19-2013
DOI:
10.18653/v1/K19-2013
Bibkey:
Cite (ACL):
Jie Cao, Yi Zhang, Adel Youssef, and Vivek Srikumar. 2019. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 138–148, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring (Cao et al., CoNLL 2019)
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PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/K19-2013.pdf
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