Papers by Gyeongeun Lee
From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals (2025.findings-acl)
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| Challenge: | Existing research on empathy generation focuses on understanding the emotions of the speaker rather than on how the responder conveys empathy. |
| Approach: | They propose to use figurative language and causal semantic context to facilitate targeted empathy generation in a mental health support domain. |
| Outcome: | The proposed approach achieves 7.6% improvement in BLEU, 36.7% reduction in Perplexity, and 7.6% increase in lexical diversity. |
Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy (2024.acl-long)
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| Challenge: | Empathy is a social mechanism used to support and strengthen emotional connection with others, including in online communities. |
| Approach: | They propose to use a subcategory of linguistic phenomena, figurative language, to detect online expressions of empathy. |
| Outcome: | The proposed model improves on the use of metaphor, idiom, and hyperbole in online expressions of empathy, with 0.942 and 0.809 F1 scores. |
AcnEmpathize: A Dataset for Understanding Empathy in Dermatology Conversations (2024.lrec-main)
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| Challenge: | Existing studies on empathy and mental health-related corpora focus on broader contexts and lack domain specificity. |
| Approach: | They propose a dataset that captures empathy expressed in acne-related discussions from forum posts focused on its emotional and psychological effects. |
| Outcome: | The AcnEmpathize dataset shows that it performs well at empathy classification. |