In this paper, we aim to overcome above two challenges in properly modeling both the context-sensitive and speaker- sensitive dependence in multi-speaker ...

In this paper, we focus on emotion detection in multi-speaker conversations instead of traditional two-speaker conversations in existing studies.

In this paper, we focus on emotion detection in multi-speaker conversations instead of traditional two-speaker conversations in existing studies. Different from ...

This paper proposes a conversational graph-based convolutional neural network that represents each utterance and each speaker as a node and can be ...

Dec 8, 2020 · In this paper, we propose a transformer-based context- and speaker- sensitive model for EDC, namely HiTrans, which consists of two hierarchical ...

Sep 12, 2024 · Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. Conference Paper. Aug 2019. Dong ...

Oct 14, 2020 · We propose Dual View Dialogue Graph Neural Network (DVDGCN), a graph neural network to model both context-static and speaker-dynamic graph.

Emotion detection in conversations (EDC) is to detect the emotion for each utterance in conversations that have multiple speakers. Paper

Jun 27, 2023 · Treating an utterance as a node, contextual and speaker relations as edges, ERC can be modelled using graph neural net- works. [6] modelled both ...

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