VScript: Controllable Script Generation with Visual Presentation
By Ziwei Ji, Yan Xu, I-Tsun Cheng, Samuel Cahyawijaya, Rita Frieske, Etsuko Ishii, Mini Zeng, Andrea Madotto, Pascale Fung. 2022
4 citations recorded by the source corpus.
In order to offer a customized script tool and inspire professional scriptwriters, we present VScript. It is a controllable pipeline that generates complete scripts, including dialogues and scene descriptions, as well as presents visually using video retrieval. With an interactive interface, our system allows users to select genres and input starting words that control the theme and development of the generated script. We adopt a hierarchical structure, which first generates the plot, then the script and its visual presentation. A novel approach is also introduced to plot-guided dialogue generation by treating it as an inverse dialogue summarization. The experiment results show that our approach outperforms the baselines on both automatic and human evaluations, especially in genre control.
Subfields: Artificial Intelligence, Information Systems, Software, Natural Language Processing, Generative Models
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Citations in the corpus
- Survey of Hallucination in Natural Language Generation (2022, background): “In contrast, the tolerance is relatively higher in dialogue systems because the desired characteristics are not only faithfulness but also user engagement, especially in open-domain dialogue systems [75, 78].”