Parsing Meaning Representations: Is Easier Always Better?

Zi Lin, Nianwen Xue


Abstract
The parsing accuracy varies a great deal for different meaning representations. In this paper, we compare the parsing performances between Abstract Meaning Representation (AMR) and Minimal Recursion Semantics (MRS), and provide an in-depth analysis of what factors contributed to the discrepancy in their parsing accuracy. By crystalizing the trade-off between representation expressiveness and ease of automatic parsing, we hope our results can help inform the design of the next-generation meaning representations.
Anthology ID:
W19-3304
Volume:
Proceedings of the First International Workshop on Designing Meaning Representations
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
DMR
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
34–43
Language:
URL:
https://aclanthology.org/W19-3304
DOI:
10.18653/v1/W19-3304
Bibkey:
Cite (ACL):
Zi Lin and Nianwen Xue. 2019. Parsing Meaning Representations: Is Easier Always Better?. In Proceedings of the First International Workshop on Designing Meaning Representations, pages 34–43, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Parsing Meaning Representations: Is Easier Always Better? (Lin & Xue, DMR 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-3304.pdf