Mmlatch: Bottom-Up Top-Down Fusion For Multimodal Sentiment Analysis. ICASSP2022. [paper] [code]

Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP2022. [paper]

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. EMNLP 2021. [paper] [code]

Progressive modality reinforcement for human multimodal emotion recognition from unaligned multimodal sequences. CVPR2021. [paper]

M3er: Multiplicative multimodal emotion recognition using facial, textual, and speech cues. AAAI2020. [paper]

Group gated fusion on attention-based bidirectional alignment for multimodal emotion recognition. InterSpeech2020.[paper] [code]

M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation. CVPR2022 [paper]

MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations. ICASSP2022 [paper] [code]

MMGCN: Multimodal fusion via deep graph convolution network for emotion recognition in conversation. ACL/IJCNLP 2021 [paper] [code]

Multimodal emotion recognition with high-level speech and text features. ASRU2021 [paper] [code]

Shapes of emotions: Multimodal emotion recognition in conversations via emotion shifts. arXiv2021 [paper]

Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition. InterSpeech2020 [paper]

Dialoguernn: An attentive rnn for emotion detection in conversations. AAAI2019 [paper] [code]

Contrast and generation make BART a good dialogue emotion recognizer. AAAI2022 [paper] [code]

Topic-driven and knowledge-aware transformer for dialogue emotion detection. ACL/IJCNLP2021 [paper] [code]

Dialoguecrn: Contextual reasoning networks for emotion recognition in conversations. ACL/IJCNN2021 [paper] [code]

Cosmic: Commonsense knowledge for emotion identification in conversations. EMNLP2020 [paper] [code]

Higru: Hierarchical gated recurrent units for utterance-level emotion recognition. NAALC2019 [paper] [code]

Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation. EMNLP/IJCNLP2019 [paper] [code]

Knowledge-enriched transformer for emotion detection in textual conversations. IJCNLP2019 [paper] [code]

Is Discourse Role Important for Emotion Recognition in Conversation? AAAI2022 [paper]

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. AAAI2022 [paper]

Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis. ACL2022 [paper]

EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition. ACL2022 [paper]

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. ACL2022 [paper]

Dimensional emotion detection from categorical emotion. EMNLP2021 [paper] [code]

Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy. EMNLP2021 [paper]

Past, present, and future: Conversational emotion recognition through structural modeling of psychological knowledge. EMNLP2021 [paper] [code]

DialogueTRM: Exploring multi-modal emotional dynamics in a conversation. EMNLP2021 [paper]

Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations. EMNLP2021 [paper]

A discourse-aware graph neural network for emotion recognition in multi-party conversation. EMNLP2021 [paper]

Multimodal phased transformer for sentiment analysis. EMNLP2021 [paper] [code]

Which is making the contribution: Modulating unimodal and cross-modal dynamics for multimodal sentiment analysis. EMNLP2021 [paper]

Few-shot emotion recognition in conversation with sequential prototypical networks. EMNLP2021 [paper] [code]