Papers with hierarchical curriculum learning framework
Dialogue Response Selection with Hierarchical Curriculum Learning (2021.acl-long)
Copied to clipboard
Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang
| Challenge: | Empirical studies on three benchmark datasets with three state-of-the-art matching models demonstrate that the proposed learning framework significantly improves the model performance across various evaluation metrics. |
| Approach: | They propose a hierarchical curriculum learning framework that trains matching models in an “easy-to-difficult” scheme. |
| Outcome: | The proposed framework significantly improves the model performance across evaluation metrics on three benchmark datasets with three state-of-the-art matching models. |
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Existing approaches overlook the varying difficulty levels inherent in legal document discourse styles and rhetorical roles. |
| Approach: | They propose a hierarchical curriculum learning framework for RRL that nests two curricula: Rhetorical Role-level Curriculum (RC) on the outer layer and Document-level curriculum (DC) on inner layer. |
| Outcome: | The proposed framework is based on four legal document datasets and shows that it is complementary to existing models. |