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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition ...
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Pragmatically Informative Color Generation by Grounding Contextual Modifiers
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Structured Self-Attention Weights Encode Semantics in Sentiment Analysis ...
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Computational models of emotion inference in Theory of Mind: A review and roadmap
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