Papers with aspect-level classifier
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification (2020.emnlp-main)
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| Challenge: | Experimental results show that D-MILN outperforms recent weakly-supervised baselines . document-level multi-aspect sentiment classification requires a lot of manual aspect-level annotations - which is time-consuming and laborious . |
| Approach: | They propose a novel Diversified Multiple Instance Learning Network to achieve DMSC with only document-level weak supervision. |
| Outcome: | The proposed method outperforms weakly-supervised baselines on TripAdvisor and BeerAdvocate datasets. |