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English(EN) EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation

新框架增强对话中的多模态情感识别 · 已追踪 2 个来源

两篇新的研究论文提出了用于对话中多模态情感识别的新颖框架。第一个,EmoEUS,引入了一个显式的、基于学习到的方差估计动态加权模态的不确定性监督框架。第二个,EII-SCL,利用时间窗口内的情绪惯性来指导监督对比学习目标。这两种方法在 IEMOCAP 和 MELD 数据集上的表现均优于现有的最先进方法。 AI

影响 这些方法可以提高 AI 在对话环境中理解和响应人类情感的能力。

排序理由 两篇在 arXiv 上发表的学术论文,提出了多模态情感识别的新方法。

在 arXiv cs.CL 阅读 →

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新框架增强对话中的多模态情感识别 · 已追踪 2 个来源

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两篇在 arXiv 上发表的学术论文,提出了多模态情感识别的新方法。
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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Burak Can Kaplan, Stefan Wermter ·

    SCoPE:对话中情感识别的移位感知说话人条件先验

    arXiv:2607.20445v1 Announce Type: new Abstract: In conversations, human emotions are transient; however, they tend to persist across multiple utterances. For example, we rarely switch instantly between contrasting emotions such as happiness and anger. Instead, emotions tend to ev…

  2. arXiv cs.CL TIER_1 English(EN) · Zilong Huang, Kong Aik Lee, Junjie Li, Zhe Li, Man-Wai Mak ·

    EmoEUS:对话式多模态情感识别的不确定性监督

    arXiv:2607.18336v1 Announce Type: cross Abstract: Multimodal emotion recognition in conversation (MERC) can leverage multimodal and contextual cues to boost recognition performance. However, existing fusion approaches in MERC often ignore modality-specific uncertainty across utte…

  3. arXiv cs.CL TIER_1 English(EN) · Zilong Huang, Kong Aik Lee, Chong-Xin Gan, Zezhong Jin, Ruichen Zuo, Man-Wai Mak ·

    EII-SCL:利用情绪惯性实现对话中的多模态情感识别

    arXiv:2607.17366v1 Announce Type: cross Abstract: Multimodal emotion recognition in conversation (MERC) achieves accurate predictions by integrating multimodal and contextual information in dialogues. While current MERC approaches focus on modeling complex contextual dependencies…