A scoping review of transformer and large language model approaches for word sense disambiguation in multilingual and low resource settings from 2019 to 2026
In natural language processing, word sense disambiguation (WSD) is still a significant difficulty, especially in low-resource, multilingual environments with few annotated resources. Contextual semantic representation and WSD performance have been enhanced by recent developments in transformer architectures and l...