UniCOQE: Unified Comparative Opinion Quintuple Extraction As A Set (2023.findings-acl)
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| Challenge: | Existing methods decompose the COQE task into multiple subtasks and solve them in a pipeline manner, but ignore the intrinsic connection between subtask and the error propagation among stages. |
| Approach: | They propose a unified generative model that solves COQE in one shot by concatenating all the comparative tuples into a target output sequence. |
| Outcome: | The proposed model significantly outperforms the SOTA method on multiple benchmarks and ablation experiments. |
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