Visual Analytics and Linguistics for Interpreting Deliberative Argumentation (VALIDA)

用于解释协商论证的视觉分析和语言学(VALIDA)

基本信息

  • 批准号:
    376714276
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    德国
  • 项目类别:
    Priority Programmes
  • 财政年份:
    2017
  • 资助国家:
    德国
  • 起止时间:
    2016-12-31 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

The project VALIDA addresses two core components of the SPP 1999, namely Deliberation and Reconstruction. It combines expertise from computer science, computational linguistics, and political science. We seek to investigate the deliberative quality of an exchange of arguments in a political debate and to provide an automatized post hoc analysis of the type, content and solidity of the arguments. We see our project as contributing towards ensuring greater transparency in understanding and evaluating the process of argumentation and, ultimately, decision making.We build on linguistic insights, methodological advances, experiences and computational tools developed in a previous project, VisArgue, in which we proposed an operationalization of the ideas behind the theory of deliberative democracy. We filled the dimensions of the operationalization with quantifiable linguistic and extralinguistic cues. We used this data as the basis for a series of visual analysis tools, but we did not apply the information towards extracting or classifying chains of arguments from the dialog. In this project, we therefore focus on investigating the deliberative quality of a given debate or exchange of arguments by extracting both explicit and implicit arguments from that debate and by providing information about the relation of these arguments towards one another along with indications as to the rhetorical framing of these arguments.The central aim is to develop a Visual Analytics system for German and English data that focuses on understanding deliberative argumentation in a debate. In order to provide this system with a sound theoretical basis that can have general applicability, we will pair the parsing results of the VisArgue pipeline and further extracted information on the rhetorical framing of arguments with Inference Anchoring Theory(IAT), a theoretical framework for discourse parsing and argument mining in dialogical data. We also intend to place a focus on establishing argumentation schemes, gaining insight into how participants in a deliberative process contribute in order to arrive at a conclusion. Our methodological contribution spans several subfields. By way of Visual Analytics we combine the various complex levels of linguistic information and computational models of argumentation, generating a scalable at-a-glance overview of the reasoning process. As input to the system, we provide a hybrid technology which combines information from rule-based linguistic work with information extracted via statistical calculations from both raw and annotated dialog data. With respect to computational linguistics, we provide a new, multilayered annotation scheme that combines information about discourse and argumentation as defined in IAT with information about the rhetorical framing that can be gleaned from the linguistic cues in the data.
VALIDA项目涉及1999年SPP的两个核心组成部分,即审议和重建。它结合了计算机科学,计算语言学和政治学的专业知识。我们试图调查的审议质量的交换参数在政治辩论,并提供一个自动化的事后分析的类型,内容和坚实的论点。 我们认为我们的项目有助于确保在理解和评估论证过程以及最终决策过程中的更大透明度。我们建立在语言学见解、方法论进步、经验和计算工具的基础上,在之前的项目VisArgue中,我们提出了协商民主理论背后的思想的可操作性。我们用可量化的语言和语言外线索填充了操作化的维度。我们使用这些数据作为一系列可视化分析工具的基础,但我们没有将这些信息应用于从对话框中提取或分类参数链。在本项目中,因此,我们专注于调查一个给定的辩论或论点交换的审议质量,通过从辩论中提取明确和隐含的论点,并通过提供有关这些论点相互关系的信息,沿着这些论点的修辞框架。中心目标是开发一个针对德语和英语数据的可视化分析系统,该系统专注于理解辩论中的审慎论证。为了给这个系统提供一个良好的理论基础,可以具有普遍适用性,我们将配对VisArgue管道的解析结果,并进一步提取信息的修辞框架的论点与推理理论(IAT),一个理论框架的话语分析和参数挖掘的对话数据。我们还打算把重点放在建立论证计划上,深入了解参与审议进程的人如何作出贡献,以便得出结论。我们的方法论贡献涵盖多个子领域。通过可视化分析,我们结合了各种复杂的语言信息和论证的计算模型,生成了一个可扩展的一目了然的推理过程概述。作为系统的输入,我们提供了一种混合技术,它结合了基于规则的语言工作的信息,通过统计计算从原始和注释的对话数据中提取的信息。 关于计算语言学,我们提供了一个新的,多层次的注释计划,结合信息的话语和论证定义在IAT与信息的修辞框架,可以收集到的语言线索的数据。

项目成果

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Professorin Dr. Miriam Butt其他文献

Professorin Dr. Miriam Butt的其他文献

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{{ truncateString('Professorin Dr. Miriam Butt', 18)}}的其他基金

Information Structure and Questions in Urdu/Hindi
乌尔都语/印地语的信息结构和问题
  • 批准号:
    276392517
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Units
Generating Linguistic Insights in Question Classification throughCombining Explainable Machine Learning and Visualization
通过结合可解释的机器学习和可视化来生成问题分类中的语言见解
  • 批准号:
    276395906
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Units
Coordination Funds
协调基金
  • 批准号:
    276396713
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Units
Visual Analysis of Language Change and Use Patterns
语言变化和使用模式的可视化分析
  • 批准号:
    218458885
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Computerlinguistische Implementierung einer großen, robusten Grammatik für Urdu/Hindi im Kontext paralleler Grammatikentwicklung
在并行语法开发的背景下,大型、稳健的乌尔都语/印地语语法的计算语言实现
  • 批准号:
    77719491
  • 财政年份:
    2009
  • 资助金额:
    --
  • 项目类别:
    Research Grants
CUEPAQ: Visual Analytics and Linguistics for Capturing, Understanding, and Explaining Personalized Argument Quality
CUEPAQ:用于捕获、理解和解释个性化论证质量的视觉分析和语言学
  • 批准号:
    455910360
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes

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