In this paper, we present an approach for generating dialogues for characters within the context of computational narratives
using personality-based features for deep neural networks. The approach integrates the requirements of both narrative genres and personality traits for the definition of character-based stylistic models.
The modelling of characters’ features from existing datasets of complete stories permits the generation of personality-rich character dialogues. We present early results from an evaluation based on a sample of characters’ personality traits across different narrative genres,
demonstrating variability in the resulting dialogue
