期刊
出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3269206.3269273
关键词
Abstractive Review Summarization; Topic Modeling; Domain adaptation
资金
- CAS Pioneer Hundred Talents Program
This study takes the lead to study the aspect/sentiment-aware abstractive review summarization in domain adaptation scenario. The proposed model CASAS (neural attentive model for Cross-domain Aspect/Sentiment-aware Abstractive review Summarization) leverages 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.
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