@inproceedings{tuggener-etal-2021-summarizing,
    title = "Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets",
    author = "Tuggener, Don  and
      Mieskes, Margot  and
      Deriu, Jan  and
      Cieliebak, Mark",
    editor = "Carenini, Giuseppe  and
      Cheung, Jackie Chi Kit  and
      Dong, Yue  and
      Liu, Fei  and
      Wang, Lu",
    booktitle = "Proceedings of the Third Workshop on New Frontiers in Summarization",
    month = nov,
    year = "2021",
    address = "Online and in Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2021.newsum-1.12/",
    doi = "10.18653/v1/2021.newsum-1.12",
    pages = "107--118",
    abstract = "Dialogue summarization is a long-standing task in the field of NLP, and several data sets with dialogues and associated human-written summaries of different styles exist. However, it is unclear for which type of dialogue which type of summary is most appropriate. For this reason, we apply a linguistic model of dialogue types to derive matching summary items and NLP tasks. This allows us to map existing dialogue summarization data sets into this model and identify gaps and potential directions for future work. As part of this process, we also provide an extensive overview of existing dialogue summarization data sets."
}