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Narrativity Against Temporality: A Computational Model for Story Processing

Eddie Soulier 1 
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
Abstract : Some researches focus on understanding an evolution over time. The evolution can concern an institution, a practice, individuals, concepts and variables. This evolution consists of the explaining phenomenon and origin of data to be analyzed: The fact that narrativity is a mode of existence of social objects points towards the necessity of enlarging the concept of narrative social ontology. Temporality comes from interaction, not substance. Social structures and participants as social objects are defined as networks of events. Hyperstoria allows the narrative analysis of a story, defined as a process consisting of a sequence of events. The second more practical aim of Ontostoria is the identification of the structure of narrative documents with natural language processing (NLP). Sum It Up allows us to experiment with two subjects that can agree on the interpretation of an event by summarizing the story in a common account.
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Submitted on : Thursday, September 3, 2020 - 4:57:00 PM
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Eddie Soulier. Narrativity Against Temporality: A Computational Model for Story Processing. Digital Cognitive Technologies, John Wiley & Sons, Inc., pp.37-56, 2013, ⟨10.1002/9781118599761.ch3⟩. ⟨hal-02929732⟩



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