The Candide model: How narratives emerge where observations meet beliefs

Paul Van Eecke, Lara Verheyen, Tom Willaert, Katrien Beuls

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Résumé

This paper presents the Candide model as a computational architecture for modelling human-like, narrative-based language understanding. The model starts from the idea that narratives emerge through the process of interpreting novel linguistic observations, such as utterances, paragraphs and texts, with respect to previously acquired knowledge and beliefs. Narratives are personal, as they are rooted in past experiences, and constitute perspectives on the world that might motivate different interpretations of the same observations. Concretely, the Candide model operationalises this idea by dynamically modelling the belief systems and background knowledge of individual agents, updating these as new linguistic observations come in, and exposing them to a logic reasoning engine that reveals the possible sources of divergent interpretations. Apart from introducing the foundational ideas, we also present a proof-of-concept implementation that demonstrates the approach through a number of illustrative examples.
langue originaleAnglais
titre5th Workshop on Narrative Understanding, WNU 2023 - Proceedings of the Workshop
rédacteurs en chefNader Akoury, Elizabeth Clark, Mohit Iyyer, Snigdha Chaturvedi, Faeze Brahman, Khyathi Raghavi Chandu
EditeurAssociation for Computational Linguistics
Pages48-57
Nombre de pages10
ISBN (Electronique)9781959429920
Etat de la publicationPublié - 2023
EvénementThe 61st Annual Meeting of the Association for Computational Linguistics - Toronto, Canada
Durée: 9 juil. 202314 juil. 2023
Numéro de conférence: 61
https://2023.aclweb.org

Série de publications

NomProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (imprimé)0736-587X

Une conférence

Une conférenceThe 61st Annual Meeting of the Association for Computational Linguistics
Titre abrégéACL 2023
Pays/TerritoireCanada
La villeToronto
période9/07/2314/07/23
Adresse Internet

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