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DialogSum: A Real-Life Scenario Dialogue Summarization Dataset (2021.findings-acl)

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Challenge: Experimental results show unique challenges in dialogue summarization such as spoken terms, special discourse structures, coreferences and ellipsis, pragmatics and social common sense.
Approach: They propose a large-scale labeled dialogue summarization dataset . they use state-of-the-art neural models to analyze spoken dialogue summaries .
Outcome: The proposed dataset can be used to analyze spoken dialogue summarization challenges.

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