Papers by Weizhao Li
Mitigating Contradictions in Dialogue Based on Contrastive Learning (2022.findings-acl)
Copied to clipboard
| Challenge: | Current chatbots generate fluent, informative responses but sometimes generate contradictory responses when interacting with human. |
| Approach: | They propose to use contrastive learning technique to mitigate contradiction issues in chatbots by minimizing the similarity between the target response and contradiction related negative example. |
| Outcome: | The proposed method outperforms existing methods on automatic and human evaluation while preserving response fluency. |
Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline (2022.coling-1)
Copied to clipboard
| Challenge: | Sentiment analysis in social media is challenging because of the lack of context. |
| Approach: | They propose to use stickers to perform a multimodal sentiment analysis task using Chinese stickers. |
| Outcome: | The proposed model performs best compared with other models. |