Papers by Tianqi Hu
Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing methods for learning event representations fail to capture hidden feature information between events. |
| Approach: | They propose a method that extends the random masked language model by incorporating a specialized MLM to capture different grammatical structures within events. |
| Outcome: | The proposed method outperforms baselines in hard similarity and transitive sentence similarity tasks, highlighting the superiority of the proposed method. |