2023
Topic-Informed Dialogue Summarization using Topic Distribution and Prompt-based Modeling
EMNLP 2023short findings
Dealing with multiple topics should be considered an important issue in dialogue summarization, because dialogues, unlike documents, are prone to topic drift. Thus, we propose a new dialogue summarization model that reflects dialogue topic distribution to consider all topics present in the dialogue.…