Papers by Jixiang Luo
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis (2023.eacl-main)
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| Challenge: | Aspect-based sentiment analysis (ABSA) has attracted broad commercial attention due to its commercial value. |
| Approach: | They propose a framework that generates location and semantic information in parallel and a global hybrid loss function in combination with bipartite matching to achieve end-to-end model training. |
| Outcome: | The proposed framework outperforms state-of-the-art methods in almost all cases and outperfies existing methods in terms of inference efficiency. |