Papers with CoMPM

1 papers
CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation (2022.naacl-main)

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Challenge: Emotion recognition in conversation is inaccurate if the previous utterances are not taken into account, so many studies reflect the dialogue context to improve the performance.
Approach: They propose a method that combines pre-trained memory with the context model to improve the performance of the context models.
Outcome: The proposed method achieves the first or second performance on all data and is state-of-the-art among systems that do not leverage structured data.

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