Structure dependent weighted loss function for triple extraction using BART model

Key Points

• Enhanced triple extraction accuracy using a weighted loss function shows significant improvement in performance.
• The improvement metrics include a X% increase in accuracy in comparison to baseline models.
• Development of a structure dependent weighted loss function was utilized to optimize the BART model.
• This advancement may enable more effective language understanding and could support broader applications in NLP.