Despite enormous progress in Natural Language Processing (NLP), our field is still lacking a common deep semantic representation scheme. As a result, the problem of meaning and understanding is typically sidestepped through more simple, approximative methods. This paper argues that in order to arrive at such a scheme, we also need a common modelling scheme. It therefore introduces MetaSRL++, a uniform, language- and modality-independent modelling scheme based on Semantic Graphs, as a step towards a common representation scheme; as well as a method for defining the concepts and entities that are used in these graphs. Our output is twofold. First, we illustrate MetaSRL++ through concrete examples. Secondly, we discuss how it relates to existing work in the field.
@article{arxiv.2305.09534,
title = {MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics},
author = {Fritz Hohl and Nianheng Wu and Martina Galetti and Remi van Trijp},
journal= {arXiv preprint arXiv:2305.09534},
year = {2023}
}