DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis

Yuchen Liu, Jinming Zhao, Jingwen Hu, Ruichen Li, Qin Jin


Abstract
Emotion Recognition in Conversation (ERC) has attracted increasing attention in the affective computing research field. Previous works have mainly focused on modeling the semantic interactions in the dialogue and implicitly inferring the evolution of the speakers’ emotional states. Few works have considered the emotional interactions, which directly reflect the emotional evolution of speakers in the dialogue. According to psychological and behavioral studies, the emotional inertia and emotional stimulus are important factors that affect the speaker’s emotional state in conversations. In this work, we propose a novel Dialogue Emotion Interaction Network, DialogueEIN, to explicitly model the intra-speaker, inter-speaker, global and local emotional interactions to respectively simulate the emotional inertia, emotional stimulus, global and local emotional evolution in dialogues. Extensive experiments on four ERC benchmark datasets, IEMOCAP, MELD, EmoryNLP and DailyDialog, show that our proposed DialogueEIN considering emotional interaction factors can achieve superior or competitive performance compared to state-of-the-art methods. Our codes and models are released.
Anthology ID:
2022.coling-1.57
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
684–693
Language:
URL:
https://aclanthology.org/2022.coling-1.57
DOI:
Bibkey:
Cite (ACL):
Yuchen Liu, Jinming Zhao, Jingwen Hu, Ruichen Li, and Qin Jin. 2022. DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis. In Proceedings of the 29th International Conference on Computational Linguistics, pages 684–693, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis (Liu et al., COLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.coling-1.57.pdf
Data
DailyDialogEmoryNLPIEMOCAPMELD