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	Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization
	Min Yang; Qiang Qu; Jia Zhu; Ying Shen; Zhou Zhao
	2018
会议日期	2018
会议地点	意大利
英文摘要	This study takes the lead to study the aspect/sentiment-aware ab- stractive review summarization in domain adaptation scenario. The proposed model CASAS (neural attentive model for Cross-domain Aspect/Sentiment-aware Abstractive review Summarization) lever- ages domain classification task, working on datasets of both source and target domains, to recognize the domain information of texts and transfer knowledge from source domains to target domains. The extensive experiments on Amazon reviews demonstrate that CASAS outperforms the compared methods in both out-of-domain and in-domain setups.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14102]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Min Yang,Qiang Qu,Jia Zhu,et al. Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization[C]. 见:. 意大利. 2018.

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