EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection (2025.coling-main)
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| Challenge: | Existing methods for personality detection ignore the connection between psychological knowledge “emotion regulation” and personality traits. |
| Approach: | They propose to use emotion regulation and emotion features to retrieve few-shot samples and provide process CoTs for inferring labels from text. |
| Outcome: | The proposed method outperforms SOTA by 15.05/4.29 on the two benchmark datasets. |
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| Challenge: | a new study examines the use of emotion detection for detecting psychological stress in online posts . traditional multi-task learning and emotion-based language model fine-tuning are used to improve the model . |
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| Challenge: | Personality detection aims to label traits via identifying linguistic cues from written text. |
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Yuqin Yang, Haowu Zhou, Haoran Tu, Zhiwen Hui, Shiqi Yan, HaoYang Li, Dong She, Xianrong Yao, Yang Gao, Zhanpeng Jin
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| Challenge: | Current research treats personality recognition as a classification task, failing to reveal the supporting evidence for the recognized personality. |
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| Challenge: | Personality profiling has long been used in psychology to predict life outcomes. |
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