Unitizing Plot to Advance Analysis of Narrative Structure (PLANS)

整合情节以推进叙事结构分析(计划)

基本信息

项目摘要

The proposed project “Unitizing Plot to Advance Analysis of Narrative Structure” (PLANS) is an interdisciplinary effort towards exploring and modeling concepts of plot in narrative theory by combining a theoretical perspective with an implementation-focused approach. As the starting point to these considerations, it is important to note that narrative theory lacks a comprehensive theoretical model of plot, just as comprehensive computational modeling of plot is infeasible with the current state of natural language processing techniques. Therefore, we seek to advance the analysis of narrative structure by working on an intermediate level: the modeling of plot units. With plot units we tackle the intermediate level between events and plot, or overall narrative structure. Thus plot units enable us to make substantial progress in the analysis of narratives, in narrative theory as well as in natural language processing.In PLANS, we will build on the event extraction in the predecessor EvENT project and adapt it in order to advance plot analysis. For this, we need to take into consideration that plot is determined both by its textual representation and properties of the fictional world, such as characters and events.Therefore, with the modeling of plot units, we strive to also conceptually connect the textual level of discours to plot, action, and generally the level of histoire; in simpler terms: we connect the how of narration with the what of narration.With this approach we strive to overcome current limitations in natural language processing and narrative theory. In natural language processing a variety of approaches to the extraction and understanding of plots have been taken, existing approaches, however, are not generally applicable to wide ranges of texts. An approach guided by narrative theory may enable us to create computational models of plot that are more broadly applicable, with the unitization-based approach enabling a more direct connection from the text’s surface from to its plot structure. Moreover, the segmentation based approach to plot units allows us to progress from the analysis of smaller, defined portions of texts to the entire narrative. This simplifies computational processing, enabling the use of otherwise impractical processing techniques (e.g., for coreference resolution or modeling of semantic world knowledge).With regard to narrative theory, the focus on the intermediate level between events and plot allows for a more general operationalization of narrative constitution, i.e., the principles that explain how events are combined and transformed into narrative text. This is still a desideratum in narrative theory. Moreover, we expect to gain insights into the as yet under-theorized conceptual connections between theoretical models of plot and narrative constitution.
拟议的项目“统一情节推进叙事结构分析”(PLANS)是一个跨学科的努力,通过结合理论视角和实施为重点的方法,探索和建模叙事理论中的情节概念。作为这些考虑的出发点,重要的是要注意,叙事理论缺乏一个全面的情节理论模型,就像情节的全面计算建模在自然语言处理技术的当前状态下是不可行的一样。因此,我们试图通过一个中间层面的工作来推进叙事结构的分析:情节单位的建模。通过情节单元,我们处理事件和情节之间的中间层次,或整体叙事结构。因此,情节单元使我们能够在叙事分析,叙事理论以及自然语言处理方面取得实质性进展。在PLANS中,我们将建立在前一个Event项目的事件提取基础上,并对其进行调整,以推进情节分析。为此,我们需要考虑到情节是由其文本表现和虚构世界的属性(如人物和事件)决定的。因此,通过情节单元的建模,我们努力在概念上将话语的文本层面与情节、动作以及一般的历史层面联系起来;简单地说:我们将叙述的方式和叙述的内容联系起来,通过这种方法,我们努力克服当前自然语言处理和叙述理论的局限性。在自然语言处理中,已经采取了各种方法来提取和理解情节,然而,现有的方法通常不适用于广泛的文本。叙事理论指导下的方法可以使我们创建更广泛适用的情节计算模型,基于单位化的方法可以实现从文本表面到情节结构的更直接的联系。此外,基于分割的情节单元方法使我们能够从分析文本的较小,定义的部分发展到整个叙事。这简化了计算处理,使得能够使用否则不切实际的处理技术(例如,关于叙事理论,对事件和情节之间的中间水平的关注允许叙事构成的更一般的操作化,即,解释事件如何组合并转化为叙事文本的原则。这仍然是叙事理论中的一个迫切需要。此外,我们还期望深入了解情节和叙事结构的理论模型之间尚未理论化的概念联系。

项目成果

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Professor Dr. Christian Biemann其他文献

Professor Dr. Christian Biemann的其他文献

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{{ truncateString('Professor Dr. Christian Biemann', 18)}}的其他基金

Joining graph- and vector-based sense representations for semantic end-user information access (JOIN-T 2)
连接基于图和向量的意义表示以实现语义最终用户信息访问 (JOIN-T 2)
  • 批准号:
    259256643
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Semantic Methods for Computer-supported Writing Aids
计算机支持写作辅助的语义方法
  • 批准号:
    249088706
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Answering Comparative Questions with Arguments (ACQuA 2.0)
用论证回答比较问题(ACQuA 2.0)
  • 批准号:
    376430233
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes

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