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Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing
Zhang, Jiajun1,2; Zhou, Yu1,2,3; Zong, Chengqing1,2,4
Source PublicationIEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2016-10-01
Volume24Issue:10Pages:1842-1853
SubtypeArticle
AbstractCross-language multidocument summarization is the task to generate a summary in a target language (e.g., Chinese) from a collection of documents in a different source language (e.g., English). Previous methods such as the extractive and compressive algorithms focus only on single sentence selection and compression, which cannot make full use of the similar sentences containing complementary information. Furthermore, the translation model knowledge is not fully explored in previous approaches. To address these two problems, we propose in this paper an abstractive cross-language summarization framework. First, the source language documents are translated into target language with a machine translation system. Then, the method constructs a pool of bilingual concepts and facts represented by the bilingual elements of the source-side predicate-argument structures (PAS) and their target-side counterparts. Finally, new summary sentences are produced by fusing bilingual PAS elements with the integer linear programming algorithm to maximize both of the salience and translation quality of the PAS elements. The experimental results on English-to-Chinese cross-language summarization demonstrate that our proposed method outperforms the state-of-the-art extractive systems in both automatic and manual evaluations.
KeywordAbstractive Cross-language Summarization Predicate-argument Structure Translation Model Integer Linear Programming
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TASLP.2016.2586608
Indexed BySCI ; EI
Language英语
Funding OrganizationNatural Science Foundation of China(61333018 ; Strategic Priority Research Program of the CAS(XDB02070007) ; Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing ; 61303181)
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000381442600014
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12649
Collection模式识别国家重点实验室_自然语言处理
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.State Key Lab Math Engn & Adv Comp, Wuxi 214125, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Jiajun,Zhou, Yu,Zong, Chengqing. Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing[J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2016,24(10):1842-1853.
APA Zhang, Jiajun,Zhou, Yu,&Zong, Chengqing.(2016).Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing.IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,24(10),1842-1853.
MLA Zhang, Jiajun,et al."Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing".IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 24.10(2016):1842-1853.
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