TY - JOUR
T1 - Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality
AU - Wang, Jiashuo
AU - Li, Wenjie
AU - Lin, Peiqin
AU - Mu, Feiteng
N1 - Funding Information:
The work described in this paper was supported by Research Grants Council of Hong Kong (PolyU 152040/18E , PolyU 15207920 ), National Natural Science Foundation of China ( 62076212 ) and PolyU (ZVQ0).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/12/5
Y1 - 2021/12/5
N2 - Empathetic response generation aims to comprehend the user emotion and then respond to it appropriately. Most existing works merely focus on what the emotion is and ignore how the emotion is evoked, thus weakening the capacity of the model to understand the emotional experience of the user for generating empathetic responses. To tackle this problem, we consider the emotional causality, namely, what feelings the user expresses (i.e., emotion) and why the user has such feelings (i.e., cause). Then, we propose a novel graph-based model with multi-hop reasoning to model the emotional causality of the empathetic conversation. Finally, we demonstrate the effectiveness of our model on EMPATHETICDIALOGUES in comparison with several competitive models.
AB - Empathetic response generation aims to comprehend the user emotion and then respond to it appropriately. Most existing works merely focus on what the emotion is and ignore how the emotion is evoked, thus weakening the capacity of the model to understand the emotional experience of the user for generating empathetic responses. To tackle this problem, we consider the emotional causality, namely, what feelings the user expresses (i.e., emotion) and why the user has such feelings (i.e., cause). Then, we propose a novel graph-based model with multi-hop reasoning to model the emotional causality of the empathetic conversation. Finally, we demonstrate the effectiveness of our model on EMPATHETICDIALOGUES in comparison with several competitive models.
KW - Commonsense knowledge graph
KW - Empathetic response generation
KW - Multi-hop reasoning
UR - http://www.scopus.com/inward/record.url?scp=85116870239&partnerID=8YFLogxK
U2 - 10.1016/j.knosys.2021.107547
DO - 10.1016/j.knosys.2021.107547
M3 - Journal article
AN - SCOPUS:85116870239
SN - 0950-7051
VL - 233
SP - 1
EP - 10
JO - Knowledge-Based Systems
JF - Knowledge-Based Systems
M1 - 107547
ER -