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Found 3 papers, 3 papers with code
CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation
We introduce CoMPM, which combines the speaker’s pre-trained memory with the context model, and find that the pre-trained memory significantly improves the performance of the context model.
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
Multi-turn response selection models have recently shown comparable performance to humans in several benchmark datasets.
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
We introduce CoMPM, which combines the speaker's pre-trained memory with the context model, and find that the pre-trained memory significantly improves the performance of the context model.
Ranked #5 on
Emotion Recognition in Conversation
on DailyDialog
