GRK 1994: Adaptive Informationsaufbereitung aus heterogenen Quellen

在紧迫的最后期限下进行彻底研究的重要性正在迅速增加，研究结果的质量的后果是深远的，特别是对决策过程。与此同时，信息量呈指数级增长，电子信息源的复杂性、异构性和质量变化也在不断增加。这个研究生课程的愿景是使用自动化手段从不同的信息源中提取结构化知识，以便创建风格相同的内容的档案。在这个项目中，我们开发了能够适应不同流派和领域的方法，以便可以很容易地将结果转移到其他任务中，并在项目的后期阶段转移到其他用户群体和语言中。研究生课程的第一阶段侧重于将多文档摘要(MDS)作为典型任务。作为一个代表性的用例，我们选择了从严重异质来源中提取的关于教育主题的德语文档。位于法兰克福/美因河畔的德国国际教育研究所(DIPF)提供了一个通用的德语文件集，还制定了用户要求，并支持研究生课程不同阶段的大规模评估。自适应信息处理是一项复杂的任务，需要广泛研究纳入相关科学学科知识的综合方法。研究生课程的主要研究问题是(A)异质语篇语篇现象的计算语言学模型，(B)异质语篇结构的语言技术的发展，(C)语篇诱导结构的表示和分析，(D)信息管理中选择和评估异质语源质量的标准和机制，以及由此产生的摘要。通过在一个紧密相连的研究计划中调查这些问题，这四个研究领域将在广度和深度上共同解决我们的指导性研究课题。资格概念包括跨学科和地点的合作，密集的国际网络，每个博士项目至少两名博士导师和一名国际联合导师的科学咨询，以及优秀博士后研究人员与经验丰富的导师共同负责任地参与博士后指导和培训。研究生课程将成为莱茵-美因河-内卡地区这一要求很高的学术领域年轻研究人员资格认证的中心位置。

The importance of thorough research under tight deadlines is increasing rapidly and the consequences of the quality of the research results are far-reaching, especially for decision making processes. At the same time, the amount of information is growing exponentially and there is a continual increase of complexity, heterogeneity, and a high variation in the quality of electronic information sources.The vision of this graduate program is to extract structured knowledge from heterogeneous sources using automated means in order to create dossiers of stylistically homogeneous content. Within this project, we develop methods that are able to adapt to different genres and domains, so that the results can easily be transferred to other tasks and – in later phases of the project – to other user groups and languages. The first phase of the graduate program focuses on multi-document summarization (MDS) as a prototypical task. As a representative use-case, we choose German documents on educational topics extracted from heavily heterogeneous sources. The German Institute for International Educational Research (DIPF) in Frankfurt/Main provides a common German document collection and also formulates user requirements and supports large-scale evaluations at different stages of the graduate program. Adaptive information processing is a complex task which requires extensive research on integrated methods that incorporate knowledge of the involved scientific disciplines. The main research questions of the graduate program are (A) the computational linguistic modeling of discourse phenomena in heterogeneous text genres, (B) the development of language technologies for heterogeneous MDS, (C) the representation and analysis of text-induced structures, (D) and the criteria and mechanisms for selecting and assessing the quality of heterogeneous sources and resulting summaries in information management. By investigating these questions in a densely connected research plan, the four research areas will jointly address our guiding research topic in breadth and depth.The qualification concept includes a collaboration across disciplines and locations, intensive international networking, scientific consultation of at least two PhD advisors and of one international co-advisor for each doctoral project, and the responsible participation of excellent post-doctoral researchers in doctoral supervision and training jointly with experienced advisors. The graduate program will form a central location for the qualification of young researchers in this highly demanded academic field in the Rhine-Main-Neckar region.