Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis (2023.findings-acl)
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| Challenge: | In a set of masking experiments, we examine the extent to which the tokens identified as salient by LIME and a gradient-based method are being used by the classifier. |
| Approach: | They use a BERT BASE model to mask the sentiments of an English dataset and find that both methods produce faithful rationales. |
| Outcome: | The proposed classifier outperforms both the gradient-based and black-box saliency methods on the SemEval 2016 english dataset. |
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Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
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| Challenge: | a recent study shows that annotating sentiments is difficult and difficult. |
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