Papers by Jocelyn Shen

3 papers
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs (2024.emnlp-main)

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Challenge: Empathy is a foundational psychological process that drives many prosocial functions.
Approach: They propose a theory-based taxonomy that delineates elements of narrative style that can lead to empathy with the narrator of a story.
Outcome: The proposed taxonomy delineates elements of narrative style that can lead to empathy with the narrator of a story.
Modeling Empathic Similarity in Personal Narratives (2023.emnlp-main)

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Challenge: EmpathicStories is a dataset of 1,500 personal stories annotated with empathic similarity features and 2,000 pairs of stories annnotated by empathism.
Approach: They propose a task to identify similarity in personal stories based on empathic resonance . they use a dataset of 1,500 personal stories annotated with empathism features .
Outcome: The proposed model outperforms semantic similarity models on correlation and retrieval metrics.
EmpathicStories++: A Multimodal Dataset for Empathy Towards Personal Experiences (2024.findings-acl)

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Challenge: Existing datasets for empathy modeling are limited in the ways they are not captured in the wild.
Approach: They propose a multimodal dataset for empathy during personal experience sharing that contains 53 hours of video, audio, and text data of 41 participants.
Outcome: The EmpathicStories++ dataset contains 53 hours of video, audio, and text data of 41 participants sharing vulnerable experiences and reading empathically resonant stories with an AI agent.

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