Empathbert: A bert-based framework for demographic-aware empathy prediction
BPR Guda, A Garimella, N Chhaya - arXiv preprint arXiv:2102.00272, 2021 - arxiv.org
Affect preferences vary with user demographics, and tapping into demographic information
provides important cues about the users' language preferences. In this paper, we utilize the …
provides important cues about the users' language preferences. In this paper, we utilize the …
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 …
Curtin OCAI at WASSA 2023 empathy, emotion and personality shared task: Demographic-aware prediction using multiple transformers
The WASSA 2023 shared task on predicting empathy, emotion and other personality traits
consists of essays, conversations and articles in textual form and participants' demographic …
consists of essays, conversations and articles in textual form and participants' demographic …
PVG at WASSA 2021: A multi-input, multi-task, transformer-based architecture for empathy and distress prediction
A Kulkarni, S Somwase, S Rajput… - arXiv preprint arXiv …, 2021 - arxiv.org
Active research pertaining to the affective phenomenon of empathy and distress is
invaluable for improving human-machine interaction. Predicting intensities of such complex …
invaluable for improving human-machine interaction. Predicting intensities of such complex …
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 …
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 …
CoMAE: A multi-factor hierarchical framework for empathetic response generation
The capacity of empathy is crucial to the success of open-domain dialog systems. Due to its
nature of multi-dimensionality, there are various factors that relate to empathy expression …
nature of multi-dimensionality, there are various factors that relate to empathy expression …
Empmff: A multi-factor sequence fusion framework for empathetic response generation
Empathy is one of the fundamental abilities of dialog systems. In order to build more
intelligent dialogue systems, it's important to learn how to demonstrate empathy toward …
intelligent dialogue systems, it's important to learn how to demonstrate empathy toward …
Cem: Commonsense-aware empathetic response generation
A key trait of daily conversations between individuals is the ability to express empathy
towards others, and exploring ways to implement empathy is a crucial step towards human …
towards others, and exploring ways to implement empathy is a crucial step towards human …
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 …