Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract)

Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai

[AAAI-22] Student Abstract and Poster Program
Abstract: Aspect 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.

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    Thu, February 24 4:45 PM - 6:30 PM (+00:00)
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  • Poster Session 8

    Sun, February 27 12:45 AM - 2:30 AM (+00:00)
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