Prospero C. Naval. Jr.

Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring

The challenging yet relevant task of automated essay scoring (AES) continuously gains attention from multiple disciplines over the years. With the advent of pre-trained large language models such as BERT, fine-tuning those models has become the dominant technique in various natural language processi…