Influence of personality- ased features for dialogue generation in computational narratives
Authors: Xu, W., Charles, F., Hargood, C., Tian, F. and Tang, W.
Journal: Frontiers in Artificial Intelligence and Applications
Volume: 325
Pages: 2945-2946
ISBN: 9781643681009
ISSN: 0922-6389
DOI: 10.3233/FAIA200466
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.
https://eprints.bournemouth.ac.uk/33483/
Source: Scopus
Influence of Personality-Based Features for Dialogue Generation in Computational Narratives
Authors: Xu, W., Charles, F., Hargood, C., Tian, F. and Tang, W.
Journal: ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE
Volume: 325
Pages: 2945-2946
eISSN: 1879-8314
ISBN: 978-1-64368-100-9
ISSN: 0922-6389
DOI: 10.3233/FAIA200466
https://eprints.bournemouth.ac.uk/33483/
Source: Web of Science (Lite)
Influence of Personality-based Features for Dialogue Generation in Computational Narratives
Authors: Xu, W., Charles, F., Hargood, C., Tian, F. and Tang, W.
Conference: ECAI 2020 - 24th European Conference on Artificial Intelligence
Dates: 8-12 June 2020
https://eprints.bournemouth.ac.uk/33483/
Source: Manual
Influence of Personality-based Features for Dialogue Generation in Computational Narratives
Authors: Xu, W., Charles, F., Hargood, C., Tian, F. and Tang, W.
Conference: ECAI 2020 - 24th European Conference on Artificial Intelligence
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
https://eprints.bournemouth.ac.uk/33483/
Source: BURO EPrints