Integrating triplet loss with Paraphrase-Tuned SBERT for Enhancing Semantic Meaning Representation in Indonesian Text

Key Points

• The aim is to enhance semantic meaning representation in Indonesian text using advanced embedding techniques.
• Integration of triplet loss into SBERT model
• Utilization of paraphrase-tuned embeddings for improved representation
• Analysis of Indonesian text datasets
• Enhanced semantic representation demonstrated in comparative analyses
• Improved performance metrics in text understanding tasks
• Positive feedback from qualitative assessments on semantic clarity