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Despite enormous progress in Natural Language Processing (NLP), our field isstill lacking a common deep semantic representation scheme. As a result, theproblem of meaning and understanding is typically sidestepped through moresimple, approximative methods. This paper argues that in order to arrive atsuch a scheme, we also need a common modelling scheme. It therefore introducesMetaSRL++, a uniform, language- and modality-independent modelling scheme basedon Semantic Graphs, as a step towards a common representation scheme; as wellas a method for defining the concepts and entities that are used in thesegraphs. Our output is twofold. First, we illustrate MetaSRL++ through concreteexamples. Secondly, we discuss how it relates to existing work in the field.

MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics