Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract)
Keywords:Cross-Domain, Aspect Based Sentiment Analysis, Knowledge Graph
AbstractAspect Based Sentiment Analysis (ABSA) aims to extract aspect terms and identify the sentiment polarities towards each extracted aspect term. Currently, syntactic information is seen as the bridge for the domain adaptation and achieves remarkable performance. However, the transferable syntactic knowledge is complex and diverse, which causes the transfer error problem in domain adaptation. In our paper, we propose a domain-shared relational structure incorporated cross-domain ABSA model. The experimental results show the effectiveness of our model.
How to Cite
Zeng, Y., Wang, G., Ren, H., & Cai, Y. (2022). Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13105-13106. https://doi.org/10.1609/aaai.v36i11.21689
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