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Influence of Personality-based Features for Dialogue Generation in Computational Narratives.

Xu, W., Charles, F., Hargood, C., Tian, F. and Tang, W., 2020. Influence of Personality-based Features for Dialogue Generation in Computational Narratives. In: ECAI 2020 - 24th European Conference on Artificial Intelligence, 8-12 June 2020, Santiago de Compostela, Spain.

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Abstract

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 dialogues

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:33483
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:24 Feb 2020 15:04
Last Modified:07 Jul 2020 12:12

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