MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics
Fritz Hohl Nianheng Wu Martina Galetti Remi van Trijp
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.