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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23506
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dc.contributor.authorTuggener, Don-
dc.contributor.authorMieskes, Margot-
dc.contributor.authorDeriu, Jan Milan-
dc.contributor.authorCieliebak, Mark-
dc.date.accessioned2021-11-13T13:15:04Z-
dc.date.available2021-11-13T13:15:04Z-
dc.date.issued2021-11-
dc.identifier.urihttps://aclanthology.org/2021.newsum-1.12/de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23506-
dc.description.abstractDialogue 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.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computational Linguisticsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectNatural Language Processingde_CH
dc.subjectSummarizationde_CH
dc.subjectDialoge Summarizationde_CH
dc.subjectSurveyde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleAre we summarizing the right way? : a survey of dialogue summarization data setsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitCentre for Artificial Intelligence (CAI)de_CH
dc.identifier.doi10.21256/zhaw-23506-
zhaw.conference.detailsConference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic (online), 7-11 November 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end118de_CH
zhaw.pages.start107de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the Third Workshop on New Frontiers in Summarizationde_CH
zhaw.webfeedDatalabde_CH
zhaw.funding.zhawInterscriber: Turning Dialogues into Actionable Insightsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Tuggener, D., Mieskes, M., Deriu, J. M., & Cieliebak, M. (2021). Are we summarizing the right way? : a survey of dialogue summarization data sets [Conference paper]. Proceedings of the Third Workshop on New Frontiers in Summarization, 107–118. https://doi.org/10.21256/zhaw-23506
Tuggener, D. et al. (2021) ‘Are we summarizing the right way? : a survey of dialogue summarization data sets’, in Proceedings of the Third Workshop on New Frontiers in Summarization. Association for Computational Linguistics, pp. 107–118. Available at: https://doi.org/10.21256/zhaw-23506.
D. Tuggener, M. Mieskes, J. M. Deriu, and M. Cieliebak, “Are we summarizing the right way? : a survey of dialogue summarization data sets,” in Proceedings of the Third Workshop on New Frontiers in Summarization, Nov. 2021, pp. 107–118. doi: 10.21256/zhaw-23506.
TUGGENER, Don, Margot MIESKES, Jan Milan DERIU und Mark CIELIEBAK, 2021. Are we summarizing the right way? : a survey of dialogue summarization data sets. In: Proceedings of the Third Workshop on New Frontiers in Summarization [online]. Conference paper. Association for Computational Linguistics. November 2021. S. 107–118. Verfügbar unter: https://aclanthology.org/2021.newsum-1.12/
Tuggener, Don, Margot Mieskes, Jan Milan Deriu, and Mark Cieliebak. 2021. “Are We Summarizing the Right Way? : A Survey of Dialogue Summarization Data Sets.” Conference paper. In Proceedings of the Third Workshop on New Frontiers in Summarization, 107–18. Association for Computational Linguistics. https://doi.org/10.21256/zhaw-23506.
Tuggener, Don, et al. “Are We Summarizing the Right Way? : A Survey of Dialogue Summarization Data Sets.” Proceedings of the Third Workshop on New Frontiers in Summarization, Association for Computational Linguistics, 2021, pp. 107–18, https://doi.org/10.21256/zhaw-23506.


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