Combining topic- and participant-level summaries with explicit emotion labels preserves dialogue emotion trajectories better than either view alone, measured by new trajectory metrics.
LLM aided semi-supervision for efficient Extractive Dialog Summarization
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Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
Combining topic- and participant-level summaries with explicit emotion labels preserves dialogue emotion trajectories better than either view alone, measured by new trajectory metrics.