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    <abstract>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 user demographics and propose EmpathBERT, a demographic-aware framework for empathy prediction based on BERT. Through several comparative experiments, we show that EmpathBERT surpasses traditional machine learning and deep learning models, and illustrate the importance of user demographics, for predicting empathy and distress in user responses to stimulative news articles. We also highlight the importance of affect information in the responses by developing affect-aware models to predict user demographic attributes.</abstract>
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%0 Conference Proceedings
%T EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction
%A Guda, Bhanu Prakash Reddy
%A Garimella, Aparna
%A Chhaya, Niyati
%Y Merlo, Paola
%Y Tiedemann, Jorg
%Y Tsarfaty, Reut
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F guda-etal-2021-empathbert
%X 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 user demographics and propose EmpathBERT, a demographic-aware framework for empathy prediction based on BERT. Through several comparative experiments, we show that EmpathBERT surpasses traditional machine learning and deep learning models, and illustrate the importance of user demographics, for predicting empathy and distress in user responses to stimulative news articles. We also highlight the importance of affect information in the responses by developing affect-aware models to predict user demographic attributes.
%R 10.18653/v1/2021.eacl-main.268
%U https://aclanthology.org/2021.eacl-main.268
%U https://doi.org/10.18653/v1/2021.eacl-main.268
%P 3072-3079

Markdown (Informal)

[EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction](https://aclanthology.org/2021.eacl-main.268) (Guda et al., EACL 2021)

• EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction (Guda et al., EACL 2021)

ACL

• Bhanu Prakash Reddy Guda, Aparna Garimella, and Niyati Chhaya. 2021. EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3072–3079, Online. Association for Computational Linguistics.