CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Example-guided stylized response generation in zero-shot setting
Bai, Guirong1,2; He, Shizhu1,2; Liu, Kang1,2; Zhao, Jun1,2
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
2022-04-01
Volume65Issue:4Pages:2
Abstract
Stylized response generation is a valuable task for conversational agents. However, due to the lack of conversational data in various styles, learning to generate responses in a desired style is challenging. In this paper, we propose an example-guided stylized response generation method in zero-shot setting, which is able to fast generate responses in a desired style by utilizing only few non-parallel style examples as the guidance. To achieve it, we train an example-guided generator only on a conversational dataset without any specifific style, and choose a suitable style example as the guidance for generation when testing. In addition, to reduce the impact of bad training samples, we propose to reweight training samples with meta-learning. Experimental results show that our method signifificantly outperforms other models on stylizing responses in low-resource setting and can generate style-specifific responses even if no training data is available for the target style.
DOI10.1007/s11432-020-3212-x
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2020AAA0106400] ; National Natural Science Foundation of China[61533018] ; National Natural Science Foundation of China[U1936207] ; National Natural Science Foundation of China[61976211] ; National Natural Science Foundation of China[61702512] ; Independent Research Project of National Laboratory of Pattern Recognition[Z-2018013] ; Youth Innovation Promotion Association CAS
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Independent Research Project of National Laboratory of Pattern Recognition ; Youth Innovation Promotion Association CAS
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000731481000002
PublisherSCIENCE PRESS
Sub direction classification自然语言处理
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/46834
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorHe, Shizhu
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Bai, Guirong,He, Shizhu,Liu, Kang,et al. Example-guided stylized response generation in zero-shot setting[J]. SCIENCE CHINA-INFORMATION SCIENCES,2022,65(4):2.
APA Bai, Guirong,He, Shizhu,Liu, Kang,&Zhao, Jun.(2022).Example-guided stylized response generation in zero-shot setting.SCIENCE CHINA-INFORMATION SCIENCES,65(4),2.
MLA Bai, Guirong,et al."Example-guided stylized response generation in zero-shot setting".SCIENCE CHINA-INFORMATION SCIENCES 65.4(2022):2.
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