How much of UCCA can be predicted from AMR?

Autor: Pavlova, Siyana, Amblard, Maxime, Guillaume, Bruno
Rok vydání: 2022
Předmět:
Zdroj: f ISA-18 Workshop at LREC2022, Jun 2022, Marseille, France
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv