A computational approach to measure empathy and theory-of-mind from written texts
Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an
essential part of empathetic experiences. We provide here the framework for using NLP …
essential part of empathetic experiences. We provide here the framework for using NLP …
Modeling empathy and distress in reaction to news stories
Computational detection and understanding of empathy is an important factor in advancing
human-computer interaction. Yet to date, text-based empathy prediction has the following …
human-computer interaction. Yet to date, text-based empathy prediction has the following …
Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks …
M Singh, D Sharma, A Ma, N Goldfine - arXiv preprint arXiv:2407.18496, 2024 - arxiv.org
Based on the WASSA 2022 Shared Task on Empathy Detection and Emotion Classification,
we predict the level of empathic concern and personal distress displayed in essays. For the …
we predict the level of empathic concern and personal distress displayed in essays. For the …
LLM-GEm: Large language model-guided prediction of people's empathy levels towards newspaper article
Empathy–encompassing the understanding and supporting others' emotions and
perspectives–strengthens various social interactions, including written communication in …
perspectives–strengthens various social interactions, including written communication in …
Team_Hawk at WASSA 2023 empathy, emotion, and personality shared task: Multi-tasking multi-encoder based transformers for empathy and emotion prediction in …
AS Srinivas, N Barua, S Pal - Proceedings of the 13th Workshop …, 2023 - aclanthology.org
In this paper, we present Team Hawk's participation in Track 1 of the WASSA 2023 shared
task. The objective of the task is to understand the empathy that emerges between …
task. The objective of the task is to understand the empathy that emerges between …
Empathy and Distress Detection using Ensembles of Transformer Models
T Chavan, K Deshpande, S Sonawane - arXiv preprint arXiv:2312.02578, 2023 - arxiv.org
This paper presents our approach for the WASSA 2023 Empathy, Emotion and Personality
Shared Task. Empathy and distress are human feelings that are implicitly expressed in …
Shared Task. Empathy and distress are human feelings that are implicitly expressed in …
Empathic conversations: A multi-level dataset of contextualized conversations
Empathy is a cognitive and emotional reaction to an observed situation of others. Empathy
has recently attracted interest because it has numerous applications in psychology and AI …
has recently attracted interest because it has numerous applications in psychology and AI …
A computational approach to understanding empathy expressed in text-based mental health support
Empathy is critical to successful mental health support. Empathy measurement has
predominantly occurred in synchronous, face-to-face settings, and may not translate to …
predominantly occurred in synchronous, face-to-face settings, and may not translate to …
Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro
Large language models (LLMs) have revolutionised numerous fields, with LLM-as-a-service
(LLMSaaS) having a strong generalisation ability that offers accessible solutions directly …
(LLMSaaS) having a strong generalisation ability that offers accessible solutions directly …
Distilling knowledge for empathy detection
M Hosseini, C Caragea - Findings of the Association for …, 2021 - aclanthology.org
Empathy is the link between self and others. Detecting and understanding empathy is a key
element for improving human-machine interaction. However, annotating data for detecting …
element for improving human-machine interaction. However, annotating data for detecting …