Papers by Yuxue Hu
Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction (2024.findings-acl)
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| Challenge: | Aspect Sentiment Triplet Extraction (ASTE) aims to extract the triplets of aspect terms, their associated sentiment and opinion terms. |
| Approach: | They propose to use multi-view linguistic features enhancement to explore the prior indication effect in the “Refine, Align, and Aggregate” learning process to enhance aspect-opinion relations. |
| Outcome: | The proposed model achieves state-of-the-art on several benchmark datasets and is robust to state- of-the art constraints. |
A Unified Generative Framework for Bilingual Euphemism Detection and Identification (2024.findings-acl)
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| Challenge: | Existing euphemism datasets are only domain-specific or language-specific. |
| Approach: | They propose a unified model to jointly conduct bilingual euphemism detection and identification tasks. |
| Outcome: | The proposed model is effective and provides a new reference standard for euphemism detection and identification. |