Fusing Transformer-Based Contextual Embeddings with Structured Semantic Knowledge for Improved Word Sense Disambiguation in Natural Language Processing
A hybrid WSD framework that combines contextual representations generated by Transformer architectures with structured semantic knowledge extracted from ontology-driven repositories is introduced, indicating that combining deep contextual learning with structured semantic knowledge provides a robust and interpretable s...