Papers with Instructive Dialogue Summarization

1 papers
Instructive Dialogue Summarization with Query Aggregations (2023.emnlp-main)

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Challenge: Conventional dialogue summarization methods generate summaries without considering user’s specific interests.
Approach: They propose a three-step approach to synthesize high-quality query-based summarization triples by training a unified model on three summarizing datasets with multi-purpose instructive triples.
Outcome: The proposed model outperforms state-of-the-art models and even models with larger sizes on four datasets including dialogue summarization and dialogue reading comprehension.

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