Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis (2022.coling-1)
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| Challenge: | Existing methods for aspect-based sentiment classification are susceptible to dependency tree due to noisy information and neglecting rich relation information between words. |
| Approach: | They propose a dependency-based double graph model for aspect-based sentiment classification that incorporates structure, relations and linguistic features into the sentiment text. |
| Outcome: | The proposed model is superior to state-of-the-art methods on four benchmark datasets. |
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