Papers with update summarization

2 papers
Effective Crowdsourcing for a New Type of Summarization Task (N18-2)

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Challenge: Currently, summarization research focuses on summarizing the entire text, but in practice, readers are often interested in only one aspect of the document or conversation.
Approach: They propose a new task where the goal is to summarize a particular aspect of a document.
Outcome: The proposed task is based on a crowdsourced data collection workflow that allows users to collect high-quality summaries.
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy (2020.findings-emnlp)

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Challenge: Existing work on multi-document summarization has focused on generic summarizing of information present in each document set.
Approach: They propose a technique for generic and update summarization based on kernel two-sample testing.
Outcome: The proposed technique exceeds the current state-of-the-art on two datasets.

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