Papers by MingXue Wang
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis (2022.emnlp-main)
Copied to clipboard
| Challenge: | Aspect Based Sentiment Analysis is a dominant research area with potential applications in social media analytics, business, finance, and health. |
| Approach: | They propose a weakly supervised multi-label Aspect Category Sentiment Analysis framework which does not use any labelled data. |
| Outcome: | The proposed framework outperforms weakly supervised baselines on four benchmark datasets and is able to generate multiple aspect category-sentiment pairs per review sentence. |