How much of UCCA can be predicted from AMR?

Siyana Pavlova; Maxime Amblard; Bruno Guillaume

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arXiv · 2207.12174

How much of UCCA can be predicted from AMR?

Siyana Pavlova·Maxime Amblard·Bruno Guillaume

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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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Siyana Pavlova, Maxime Amblard, Bruno Guillaume. 2022-07-25. How much of UCCA can be predicted from AMR?. https://arxiv.org/abs/2207.12174

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