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Found 5 papers, 2 papers with code
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Quantum comb is an essential tool for characterizing complex quantum protocols in quantum information processing.
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement
Our model achieves state-of-the-art performance on three datasets, demonstrating the superiority of our work.
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
We utilize TE and SE to combine the strengths of previous methods in a simplistic manner to efficiently capture temporal and spatial contextual information in the conversation.
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
RUME is applied to extract conversation-level contextual emotional cues while pulling together data distributions between modalities; ACME is utilized to perform multimodal interaction centered on textual modality; LESM is used to model emotion shift and capture emotion-shift information, thereby guiding the learning of the main task.
Ranked #8 on
Emotion Recognition in Conversation
on IEMOCAP
Emotion Recognition in Conversation
Multimodal Emotion Recognition
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies.
Ranked #5 on
Emotion Recognition in Conversation
on EmoryNLP
