How much of UCCA can be predicted from AMR? - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2022

How much of UCCA can be predicted from AMR?

Siyana Pavlova
Maxime Amblard
Bruno Guillaume

Résumé

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.
Fichier principal
Vignette du fichier
main.pdf (960.02 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03724129 , version 1 (22-07-2022)

Licence

Identifiants

Citer

Siyana Pavlova, Maxime Amblard, Bruno Guillaume. How much of UCCA can be predicted from AMR?. ISA 2022: 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation, Jun 2022, Marseille, France. ⟨hal-03724129⟩
58 Consultations
53 Téléchargements

Altmetric

Partager

More