Examining the State-of-the-Art in News Timeline Summarization

@inproceedings{Ghalandari2020ExaminingTS,
  title={Examining the State-of-the-Art in News Timeline Summarization},
  author={Demian Gholipour Ghalandari and Georgiana Ifrim},
  booktitle={ACL},
  year={2020}
}
Previous work on automatic news timeline summarization (TLS) leaves an unclear picture about how this task can generally be approached and how well it is currently solved. This is mostly due to the focus on individual subtasks, such as date selection and date summarization, and to the previous lack of appropriate evaluation metrics for the full TLS task. In this paper, we compare different TLS strategies using appropriate evaluation frameworks, and propose a simple and effective combination of… Expand

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