Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378509235> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4378509235 abstract "The most meaningful connections between people are often fostered through expression of shared vulnerability and emotional experiences in personal narratives. We introduce a new task of identifying similarity in personal stories based on empathic resonance, i.e., the extent to which two people empathize with each others' experiences, as opposed to raw semantic or lexical similarity, as has predominantly been studied in NLP. Using insights from social psychology, we craft a framework that operationalizes empathic similarity in terms of three key features of stories: main events, emotional trajectories, and overall morals or takeaways. We create EmpathicStories, a dataset of 1,500 personal stories annotated with our empathic similarity features, and 2,000 pairs of stories annotated with empathic similarity scores. Using our dataset, we fine-tune a model to compute empathic similarity of story pairs, and show that this outperforms semantic similarity models on automated correlation and retrieval metrics. Through a user study with 150 participants, we also assess the effect our model has on retrieving stories that users empathize with, compared to naive semantic similarity-based retrieval, and find that participants empathized significantly more with stories retrieved by our model. Our work has strong implications for the use of empathy-aware models to foster human connection and empathy between people." @default.
- W4378509235 created "2023-05-27" @default.
- W4378509235 creator A5002360797 @default.
- W4378509235 creator A5015128745 @default.
- W4378509235 creator A5020887623 @default.
- W4378509235 creator A5036475095 @default.
- W4378509235 creator A5090151532 @default.
- W4378509235 date "2023-05-23" @default.
- W4378509235 modified "2023-09-30" @default.
- W4378509235 title "Modeling Empathic Similarity in Personal Narratives" @default.
- W4378509235 doi "https://doi.org/10.48550/arxiv.2305.14246" @default.
- W4378509235 hasPublicationYear "2023" @default.
- W4378509235 type Work @default.
- W4378509235 citedByCount "0" @default.
- W4378509235 crossrefType "posted-content" @default.
- W4378509235 hasAuthorship W4378509235A5002360797 @default.
- W4378509235 hasAuthorship W4378509235A5015128745 @default.
- W4378509235 hasAuthorship W4378509235A5020887623 @default.
- W4378509235 hasAuthorship W4378509235A5036475095 @default.
- W4378509235 hasAuthorship W4378509235A5090151532 @default.
- W4378509235 hasBestOaLocation W43785092351 @default.
- W4378509235 hasConcept C103278499 @default.
- W4378509235 hasConcept C115961682 @default.
- W4378509235 hasConcept C130318100 @default.
- W4378509235 hasConcept C138885662 @default.
- W4378509235 hasConcept C154945302 @default.
- W4378509235 hasConcept C15744967 @default.
- W4378509235 hasConcept C180747234 @default.
- W4378509235 hasConcept C199033989 @default.
- W4378509235 hasConcept C204321447 @default.
- W4378509235 hasConcept C23123220 @default.
- W4378509235 hasConcept C2778251646 @default.
- W4378509235 hasConcept C2779885105 @default.
- W4378509235 hasConcept C2780342009 @default.
- W4378509235 hasConcept C41008148 @default.
- W4378509235 hasConcept C41895202 @default.
- W4378509235 hasConcept C77805123 @default.
- W4378509235 hasConceptScore W4378509235C103278499 @default.
- W4378509235 hasConceptScore W4378509235C115961682 @default.
- W4378509235 hasConceptScore W4378509235C130318100 @default.
- W4378509235 hasConceptScore W4378509235C138885662 @default.
- W4378509235 hasConceptScore W4378509235C154945302 @default.
- W4378509235 hasConceptScore W4378509235C15744967 @default.
- W4378509235 hasConceptScore W4378509235C180747234 @default.
- W4378509235 hasConceptScore W4378509235C199033989 @default.
- W4378509235 hasConceptScore W4378509235C204321447 @default.
- W4378509235 hasConceptScore W4378509235C23123220 @default.
- W4378509235 hasConceptScore W4378509235C2778251646 @default.
- W4378509235 hasConceptScore W4378509235C2779885105 @default.
- W4378509235 hasConceptScore W4378509235C2780342009 @default.
- W4378509235 hasConceptScore W4378509235C41008148 @default.
- W4378509235 hasConceptScore W4378509235C41895202 @default.
- W4378509235 hasConceptScore W4378509235C77805123 @default.
- W4378509235 hasLocation W43785092351 @default.
- W4378509235 hasOpenAccess W4378509235 @default.
- W4378509235 hasPrimaryLocation W43785092351 @default.
- W4378509235 hasRelatedWork W1694863721 @default.
- W4378509235 hasRelatedWork W2089276814 @default.
- W4378509235 hasRelatedWork W2205064814 @default.
- W4378509235 hasRelatedWork W2419473311 @default.
- W4378509235 hasRelatedWork W2507577378 @default.
- W4378509235 hasRelatedWork W2748952813 @default.
- W4378509235 hasRelatedWork W2899084033 @default.
- W4378509235 hasRelatedWork W3207467184 @default.
- W4378509235 hasRelatedWork W4239074740 @default.
- W4378509235 hasRelatedWork W4281690070 @default.
- W4378509235 isParatext "false" @default.
- W4378509235 isRetracted "false" @default.
- W4378509235 workType "article" @default.