Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis (2020.emnlp-main)
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| Challenge: | Existing methods for aspect-level sentiment classification ignore corpus level word co-occurrence information . a novel architecture convolutes over hierarchical syntactic and lexical graphs . |
| Approach: | They propose a novel architecture which convolutes over hierarchical syntactic and lexical graphs . they employ a global lexical graph to encode corpus level word co-occurrence information . |
| Outcome: | The proposed architecture outperforms the state-of-the-art methods on five bench- mark datasets. |
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