DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations

Duzhen Zhang, Feilong Chen, Xiuyi Chen


Abstract
Capturing complex contextual dependencies plays a vital role in Emotion Recognition in Conversations (ERC). Previous studies have predominantly focused on speaker-aware context modeling, overlooking the discourse structure of the conversation. In this paper, we introduce Dual Graph ATtention networks (DualGATs) to concurrently consider the complementary aspects of discourse structure and speaker-aware context, aiming for more precise ERC. Specifically, we devise a Discourse-aware GAT (DisGAT) module to incorporate discourse structural information by analyzing the discourse dependencies between utterances. Additionally, we develop a Speaker-aware GAT (SpkGAT) module to incorporate speaker-aware contextual information by considering the speaker dependencies between utterances. Furthermore, we design an interaction module that facilitates the integration of the DisGAT and SpkGAT modules, enabling the effective interchange of relevant information between the two modules. We extensively evaluate our method on four datasets, and experimental results demonstrate that our proposed DualGATs surpass state-of-the-art baselines on the majority of the datasets.
Anthology ID:
2023.acl-long.408
Volume:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Anna Rogers, Jordan Boyd-Graber, Naoaki Okazaki
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
7395–7408
Language:
URL:
https://aclanthology.org/2023.acl-long.408
DOI:
10.18653/v1/2023.acl-long.408
Bibkey:
Cite (ACL):
Duzhen Zhang, Feilong Chen, and Xiuyi Chen. 2023. DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7395–7408, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations (Zhang et al., ACL 2023)
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https://aclanthology.org/2023.acl-long.408.pdf
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