Abstract
In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR) - a more abstract framework, and Universal Conceptual Cognitive Annotation (UCCA) - an anchored framework. We use a corpus-based approach to build two graph rewriting systems, a deterministic and a non-deterministic one, from the former to the latter framework. We present their evaluation and a number of ambiguities that we discovered while building our rules. Finally, we provide a discussion and some future work directions in relation to comparing semantic frameworks of different flavors.- Anthology ID:
- 2022.isa-1.15
- Volume:
- Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- ISA
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 110–117
- Language:
- URL:
- https://aclanthology.org/2022.isa-1.15
- DOI:
- Cite (ACL):
- Siyana Pavlova, Maxime Amblard, and Bruno Guillaume. 2022. How much of UCCA can be predicted from AMR?. In Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022, pages 110–117, Marseille, France. European Language Resources Association.
- Cite (Informal):
- How much of UCCA can be predicted from AMR? (Pavlova et al., ISA 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.isa-1.15.pdf
- Data
- AMR Bank