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Deep Dependency Substructure-Based Learning for Multidocument Summarization
Yan, Su ; Wan, Xiaojun
刊名ACM TRANSACTIONS ON INFORMATION SYSTEMS
2015
关键词Algorithms Experimentation Document summarization deep dependency sub-structure multi-task learning SEMANTIC ROLES TASKS
DOI10.1145/2766447
英文摘要Most extractive style topic-focused multidocument summarization systems generate a summary by ranking textual units in multiple documents and extracting a proper subset of sentences biased to the given topic. Usually, the textual units are simply represented as sentences or n-grams, which do not carry deep syntactic and semantic information. This article presents a novel extractive topic-focused multidocument summarization framework. The framework proposes a new kind of more meaningful and informative units named frequent Deep Dependency Sub-Structure (DDSS) and a topic-sensitive Multi-Task Learning (MTL) model for frequent DDSS ranking. Given a document set, first, we parse all the sentences into deep dependency structures with a Head-driven Phrase Structure Grammar (HPSG) parser and mine the frequent DDSSs after semantic normalization. Then we employ a topic-sensitive MTL model to learn the importance of these frequent DDSSs. Finally, we exploit an Integer Linear Programming (ILP) formulation and use the frequent DDSSs as the essentials for summary extraction. Experimental results on two DUC datasets demonstrate that our proposed approach can achieve state-of-the-art performance. Both the DDSS information and the topic-sensitive MTL model are validated to be very helpful for topic-focused multidocument summarization.; National Natural Science Foundation of China [61170166, 61331011]; National Hi-Tech Research and Development Program (863 Program) of China [2015AA015403]; Beijing Nova Program [2008B03]; SCI(E); EI; ARTICLE; yansu@pku.edu.cn; wanxiaojun@pku.edu.cn; 1; 34
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/415858]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Yan, Su,Wan, Xiaojun. Deep Dependency Substructure-Based Learning for Multidocument Summarization[J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS,2015.
APA Yan, Su,&Wan, Xiaojun.(2015).Deep Dependency Substructure-Based Learning for Multidocument Summarization.ACM TRANSACTIONS ON INFORMATION SYSTEMS.
MLA Yan, Su,et al."Deep Dependency Substructure-Based Learning for Multidocument Summarization".ACM TRANSACTIONS ON INFORMATION SYSTEMS (2015).
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