中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Transfer Hierarchical Attention Network for Generative Dialog System

文献类型:期刊论文

作者Xiang Zhang; Qiang Yang
刊名International Journal of Automation and Computing
出版日期2019
卷号16期号:6页码:720-736
关键词Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence.
ISSN号1476-8186
DOI10.1007/s11633-019-1200-0
英文摘要In generative dialog systems, learning representations for the dialog context is a crucial step in generating high quality responses. The dialog systems are required to capture useful and compact information from mutually dependent sentences such that the generation process can effectively attend to the central semantics. Unfortunately, existing methods may not effectively identify importance distributions for each lower position when computing an upper level feature, which may lead to the loss of information critical to the constitution of the final context representations. To address this issue, we propose a transfer learning based method named transfer hierarchical attention network (THAN). The THAN model can leverage useful prior knowledge from two related auxiliary tasks, i.e., keyword extraction and sentence entailment, to facilitate the dialog representation learning for the main dialog generation task. During the transfer process, the syntactic structure and semantic relationship from the auxiliary tasks are distilled to enhance both the word-level and sentence-level attention mechanisms for the dialog system. Empirically, extensive experiments on the Twitter Dialog Corpus and the PERSONA-CHAT dataset demonstrate the effectiveness of the proposed THAN model compared with the state-of-the-art methods.
源URL[http://ir.ia.ac.cn/handle/173211/42370]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Computer Science and Engineering Department, Hong Kong University of Science and Technology, Hong Kong 999077, China
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GB/T 7714
Xiang Zhang,Qiang Yang. Transfer Hierarchical Attention Network for Generative Dialog System[J]. International Journal of Automation and Computing,2019,16(6):720-736.
APA Xiang Zhang,&Qiang Yang.(2019).Transfer Hierarchical Attention Network for Generative Dialog System.International Journal of Automation and Computing,16(6),720-736.
MLA Xiang Zhang,et al."Transfer Hierarchical Attention Network for Generative Dialog System".International Journal of Automation and Computing 16.6(2019):720-736.

入库方式: OAI收割

来源:自动化研究所

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