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Found 3 papers, 2 papers with code
CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions
Story generation has emerged as an interesting yet challenging NLP task in recent years.
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion
To merge these two forms of knowledge into the dialogue effectively, we design a dynamic virtual knowledge selector and a controller that help to enrich and expand knowledge space.
Controllable Multi-Character Psychology-Oriented Story Generation
In our work, we aim to design an emotional line for each character that considers multiple emotions common in psychological theories, with the goal of generating stories with richer emotional changes in the characters.
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