ReCAP-II: Information Retrieval and Case-Based Reasoning for Robust Deliberation and Synthesisof Arguments – Architecture and Applications

ReCAP-II：信息检索和基于案例的推理，用于论证的稳健审议和综合 - 架构和应用

• 批准号: 375342983
• 负责人: Professor Dr. Ralph Bergmann
• 金额: --
• 依托单位: Lehrstuhl Datenbanken und Informationssysteme
• 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 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/375342983?language=en
• 关键词: ReCAP; II; Information; Retrieval; Case

The ReCAP proposal follows the vision of future argumentation machines that support researchers, journalistic writers, as well as human decision makers to obtain a comprehensive overview of current arguments and opinions related to a certain topic, as well as to develop personal, well-founded opinions justified by convincing arguments. Such argumentation machines automatically explore and process available information sources on the web, particularly argumentative texts and factual content relevant for the specific topic under discussion. Unlike existing search engines, which primarily operate on the textual level, such argumentation machines will reason on a knowledge level formed by arguments and argumentation structures. For a given particular context, such reasoning will actively support the deliberation of arguments and counter-arguments for the issue under consideration, based on present opinions and facts on the Web. In addition, it will support the synthesis of new contributions to the deliberation process, based on analogical transfer of arguments and argumentation structures from similar related contexts and topics.The ReCAP project aims at significantly contributing to the realisation of this vision by a research program, linked with the other projects in the Priority Programme RATIO. The focus is on the novel contributions to and confluence of methods from information retrieval (IR) and knowledge representation and reasoning (RI), in particular case-based reasoning. The aim is to develop methods that are able to capture arguments in a robust and scalable manner, in particular representing, contextualizing, and aggregating arguments and making them available to a user. To develop a comprehensive understanding of the potential future uses of argumentation machines already in the early phase of the project and to focus the methodological and experimental research work we include application partners who are experts in political debates. We will develop professionally annotated corpora and elaborate several use cases for deliberation and synthesis as gold standard, which will also be shared with the other projects in the Priority Programme for benchmarking purposes.

ReCAP提案遵循未来论证机器的愿景，支持研究人员，新闻作者以及人类决策者全面了解与某个主题相关的当前论点和观点，并通过令人信服的论点来发展个人的，有根据的观点。这种论证机器自动探索和处理网络上的可用信息源，特别是与所讨论的特定主题相关的论证文本和事实内容。与现有的搜索引擎不同，它主要在文本层面上运行，这种论证机器将在由论点和论证结构形成的知识层面上进行推理。在特定的背景下，这种推理将积极地支持对正在考虑的问题的论点和反论点的审议，根据目前的意见和网络上的事实。此外，它还将支持对审议过程的新贡献进行综合，其基础是从类似的相关背景和主题中类比转移论点和论证结构。ReCAP项目旨在通过一项研究计划，与优先计划RATIO中的其他项目相联系，为实现这一愿景做出重大贡献。重点是新的贡献和融合的方法，从信息检索（IR）和知识表示和推理（RI），特别是基于案例的推理。其目的是开发能够以稳健和可扩展的方式捕获参数的方法，特别是表示，上下文化和聚合参数并将其提供给用户。为了在项目的早期阶段全面了解论证机器的潜在未来用途，并专注于方法和实验研究工作，我们包括政治辩论专家的应用合作伙伴。我们将开发专业注释的语料库，并详细说明几个用于审议和综合的用例，作为黄金标准，这些用例也将与优先计划中的其他项目共享，以进行基准测试。