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YARN is All You Knit: Encoding Multiple Semantic Phenomena with Layers

Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024

DOI:10.63317/35mzp6cgsus2

Abstract

In this paper, we present the first version of YARN, a new semantic representation formalism. We propose this new formalism to unify the advantages of logic-based formalisms while retaining direct interpretation, making it widely usable. YARN is rooted in the encoding of different semantic phenomena as separate layers. We begin by presenting a formal definition of the mathematical structure that constitutes YARN. We then illustrate with concrete examples how this structure can be used in the context of semantic representation for encoding multiple phenomena (such as modality, negation and quantification) as layers built on top of a central predicate-argument structure. The benefit of YARN is that it allows for the independent annotation and analysis of different phenomena as they are easy to “switch off”. Furthermore, we have explored YARN’s ability to encode simple interactions between phenomena. We wrap up the work presented by a discussion of some of the interesting observations made during the development of YARN so far and outline our extensive future plans for this formalism.

Details

Paper ID
lrec2024-ws-dmr-08
Pages
pp. 66-76
BibKey
pavlova-etal-2024-yarn
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024
Location
undefined, undefined
Date
20 May 2024 25 May 2024

Authors

  • SP

    Siyana Pavlova

  • MA

    Maxime Amblard

  • BG

    Bruno Guillaume

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