A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

@article{Liang2021ADS,
  title={A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis},
  author={Yunlong Liang and Fandong Meng and Jinchao Zhang and Jinan Xu and Yufeng Chen and Jie Zhou},
  journal={ArXiv},
  year={2021},
  volume={abs/2004.01951}
}
The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment this http URL previous approaches, the explicit syntactic structure of a sentence, which reflects the syntax properties of natural language and hence is intuitively crucial for aspect term extraction and sentiment recognition, is typically neglected or insufficiently modeled. In this paper, we thus propose a novel dependency syntactic… Expand
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