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題名 MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships
作者 黃瀚萱
Huang, Hen-Hsen
Chen, Yi-Ting
Chen, Hsin-Hsi
貢獻者 資科系
關鍵詞 Multi-party dialogue ; Interpersonal relationships ; emotions ; dataset
日期 2020-05
上傳時間 4-六月-2021 14:42:07 (UTC+8)
摘要 A dialogue dataset is an indispensable resource for building a dialogue system. Additional information like emotions and interpersonal relationships labeled on conversations enables the system to capture the emotion flow of the participants in the dialogue. However, there is no publicly available Chinese dialogue dataset with emotion and relation labels. In this paper, we collect the conversions from TV series scripts, and annotate emotion and interpersonal relationship labels on each utterance. This dataset contains 25,548 utterances from 4,142 dialogues. We also set up some experiments to observe the effects of the responded utterance on the current utterance, and the correlation between emotion and relation types in emotion and relation classification tasks.
關聯 Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, pp.610-614
資料類型 conference
dc.contributor 資科系
dc.creator (作者) 黃瀚萱
dc.creator (作者) Huang, Hen-Hsen
dc.creator (作者) Chen, Yi-Ting
dc.creator (作者) Chen, Hsin-Hsi
dc.date (日期) 2020-05
dc.date.accessioned 4-六月-2021 14:42:07 (UTC+8)-
dc.date.available 4-六月-2021 14:42:07 (UTC+8)-
dc.date.issued (上傳時間) 4-六月-2021 14:42:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/135526-
dc.description.abstract (摘要) A dialogue dataset is an indispensable resource for building a dialogue system. Additional information like emotions and interpersonal relationships labeled on conversations enables the system to capture the emotion flow of the participants in the dialogue. However, there is no publicly available Chinese dialogue dataset with emotion and relation labels. In this paper, we collect the conversions from TV series scripts, and annotate emotion and interpersonal relationship labels on each utterance. This dataset contains 25,548 utterances from 4,142 dialogues. We also set up some experiments to observe the effects of the responded utterance on the current utterance, and the correlation between emotion and relation types in emotion and relation classification tasks.
dc.format.extent 742467 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, pp.610-614
dc.subject (關鍵詞) Multi-party dialogue ; Interpersonal relationships ; emotions ; dataset
dc.title (題名) MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships
dc.type (資料類型) conference