课题基金 / 基金详情

GRK 1994: Adaptive Informationsaufbereitung aus heterogenen Quellen

GRK 1994: Adaptive Informationsaufbereitung aus heterogenen Quellen
GRK 1994:来自异构源的自适应信息处理
批准号:
240177810
负责人:
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Training Groups
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2018-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
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.
期刊论文(74)
专著(0)
科研奖励(0)
会议论文
A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking
基于机器学习的自动事实检查管道方法
DOI: 10.25534/tuprints-00014136
发表时间: 2020
期刊:
影响因子: --
作者: [Andreas Hanselowski]
通讯作者: Andreas Hanselowski
Large-Scale Goodness Polarity Lexicons for Community Question Answering
用于社区问答的大规模善良极性词典
DOI: 10.1145/3077136.3080757
发表时间: 2017
期刊: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
影响因子: --
作者: [Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov]
通讯作者: Preslav Nakov
Visual Error Analysis for Entity Linking
实体链接的视觉错误分析
DOI: 10.3115/v1/p15-4007
发表时间: 2015
期刊:
影响因子: --
作者: [Benjamin Heinzerling, Michael Strube]
通讯作者: Michael Strube
DOI: 10.18653/v1/s18-2027
发表时间: 2018-04
期刊:
影响因子: --
作者: [Hatem Mousselly Sergieh;Teresa Botschen;Iryna Gurevych;S. Roth]
通讯作者: Hatem Mousselly Sergieh;Teresa Botschen;Iryna Gurevych;S. Roth
71
    国内基金
    海外基金
    1994-2009年华南对流层臭氧年际和长期变化特征及其成因
    • 批准号:
      41075101
    • 项目类别:
      面上项目
    • 资助金额:
      56.0万元
    • 批准年份:
      2010
    • 负责人:
      丁爱军
    • 依托单位:
    新矿物综合系列研究(1980-1994)