2015

TGSum: Build Tweet Guided Multi-Document Summarization Dataset

Cao, Ziqiang, Chen, Chengyao, Li, Wenjie et al.

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The development of summarization research has been significantly hampered by the costly acquisition of reference summaries.

  • This paper proposes an effective way to automatically collect large scales of news-related multi-document summaries with reference to social media's reactions.
  • We utilize two types of social labels in tweets, i.e., hashtags and hyper-links.
  • Hashtags are used to cluster documents into different topic sets.

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