Papers with BERT-based Aspect-based Sentiment model
Transfer Learning Between Related Tasks Using Expected Label Proportions (D19-1)
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| Challenge: | Existing methods of data supervision are limited by labeled training data. |
| Approach: | They propose a method where models are trained based on expected label proportions. |
| Outcome: | The proposed method improves on a sentence-level sentiment predictor and is cumulative with LM-based pretraining. |