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Communication Dans Un Congrès Année : 2023

Bridging Semantic Frameworks: mapping DRS onto AMR

Siyana Pavlova
Maxime Amblard
Bruno Guillaume

Résumé

A number of graph-based semantic representation frameworks have emerged in recent years, but there are few parallel annotated corpora across them. We want to explore the viability of transforming graphs from one framework into another to construct parallel datasets. In this work, we consider graph rewriting from Discourse Representation Structures (Parallel Meaning Bank (PMB) variant) to Abstract Meaning Representation (AMR). We first build a gold AMR corpus of 102 sentences from the PMB. We then construct a rule base, aided by a further 95 sentences. No benchmark for this task exists, so we compare our system's output to that of state-of-the-art AMR parsers, and explore the more challenging cases. Finally, we discuss where the two frameworks diverge in encoding semantic phenomena.
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Dates et versions

hal-04129563 , version 1 (15-06-2023)
hal-04129563 , version 2 (26-06-2023)

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  • HAL Id : hal-04129563 , version 2

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Siyana Pavlova, Maxime Amblard, Bruno Guillaume. Bridging Semantic Frameworks: mapping DRS onto AMR. The 15th International Conference on Computational Semantics (IWCS 2023), Jun 2023, Nancy, France. ⟨hal-04129563v2⟩
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