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
- Editors:
- Nianwen Xue, William Croft, Jan Hajic, Chu-Ren Huang, Stephan Oepen, Martha Palmer, James Pustejovksy
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/W19-3304.pdf