Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks (D19-1)
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| Challenge: | Existing aspects-based sentiment classification models lack a mechanism to account for relevant syntactical constraints and word dependencies. |
| Approach: | They propose to build a Graph Convolutional Network over the dependency tree of a sentence to exploit syntactical information and word dependencies. |
| Outcome: | The proposed model is comparable to state-of-the-art models on three benchmarking collections. |
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