Hold Script

Hold script research encompasses the creation, analysis, and application of structured textual sequences, ranging from movie scripts and dialogue to instructions for customer service interactions. Current research focuses on developing tools to aid scriptwriting (e.g., visualization tools leveraging large movie databases), creating large-scale datasets for training models to generate and understand scripts, and employing natural language processing (NLP) techniques, including contrastive learning and fine-tuned language models like RuBERT and RoBERTa, for tasks such as script generation, sentiment analysis, and character understanding. This work has implications for improving various applications, including automated script generation for film and video, enhancing customer service experiences through optimized on-hold messaging, and advancing our understanding of narrative structure and character development in storytelling.