Abstract
Empathy is a social mechanism used to support and strengthen emotional connection with others, including in online communities. However, little is currently known about the nature of these online expressions, nor the particular factors that may lead to their improved detection. In this work, we study the role of a specific and complex subcategory of linguistic phenomena, figurative language, in online expressions of empathy. Our extensive experiments reveal that incorporating features regarding the use of metaphor, idiom, and hyperbole into empathy detection models improves their performance, resulting in impressive maximum F1 scores of 0.942 and 0.809 for identifying posts without and with empathy, respectively.- Anthology ID:
- 2024.acl-long.31
- Volume:
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Lun-Wei Ku, Andre Martins, Vivek Srikumar
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 519–529
- Language:
- URL:
- https://aclanthology.org/2024.acl-long.31
- DOI:
- 10.18653/v1/2024.acl-long.31
- Cite (ACL):
- Gyeongeun Lee, Christina Wong, Meghan Guo, and Natalie Parde. 2024. Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 519–529, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy (Lee et al., ACL 2024)
- PDF:
- https://preview.aclanthology.org/autopr/2024.acl-long.31.pdf