@inproceedings{pavlova-etal-2022-much,
title = "How much of {UCCA} can be predicted from {AMR}?",
author = "Pavlova, Siyana and
Amblard, Maxime and
Guillaume, Bruno",
editor = "Bunt, Harry",
booktitle = "Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.isa-1.15/",
pages = "110--117",
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."
}
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%0 Conference Proceedings
%T How much of UCCA can be predicted from AMR?
%A Pavlova, Siyana
%A Amblard, Maxime
%A Guillaume, Bruno
%Y Bunt, Harry
%S Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F pavlova-etal-2022-much
%X 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.
%U https://aclanthology.org/2022.isa-1.15/
%P 110-117
Markdown (Informal)
[How much of UCCA can be predicted from AMR?](https://aclanthology.org/2022.isa-1.15/) (Pavlova et al., ISA 2022)
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.