Papers with MGDG
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue (2024.emnlp-main)
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| Challenge: | Existing methods for generating sentiment quadruples in dialogues face heightened noise and order bias challenges, leading to decreased robustness and accuracy. |
| Approach: | They propose a Segmentation-Aided multi-grained denoising and debiasing method to address noise and order bias challenges in ABSA. |
| Outcome: | The proposed method achieves word-level denoising and utterance-level demoising via topic-aware dialogue segmentation. |