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Legal Knowledge Conveyed by Narratives: Towards a Representational Model

机译:叙事所传达的法律知识:建立代表模型

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The paper investigates a representational model for narratives, aiming to facilitate the acquisition of the systematic core of stories concerning legal cases, i.e. the set of causal and temporal relationships that govern the world in which the narrated scenario takes place. At the discourse level, we consider narratives as sequences of "messages" collected in an "observation", including descriptions of agents, of agents' behaviour and of "mechanisms" relative to physical, mental and institutional domains. At the content level, stories correspond to synchronizations of embodied "agent-roles" scripts. Following this approach, the "Pierson v Post" case is analyzed in detail and represented as a Petri net.
机译:本文研究了叙事的表征模型,旨在促进获取有关法律案件的系统故事核心,即支配发生叙事场景的世界的因果关系和时间关系。在话语层面上,我们将叙述视为“观察”中收集的“消息”序列,包括与物理,精神和机构领域有关的代理人描述,代理人行为以及“机制”。在内容级别,故事对应于体现的“代理角色”脚本的同步。按照这种方法,将详细分析“ Pierson诉Post”案并将其表示为Petri网。

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