MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics

no code implementations • 16 May 2023 • Fritz Hohl, Nianheng Wu, Martina Galetti, Remi van Trijp

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.

Language Discrimination and Transfer Learning for Similar Languages: Experiments with Feature Combinations and Adaptation

no code implementations • WS 2019 • Nianheng Wu, Eric DeMattos, Kwok Him So, Pin-zhen Chen, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin

This paper describes the work done by team tearsofjoy participating in the VarDial 2019 Evaluation Campaign.

Dialect Identification Transfer Learning