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    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/135526
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135526


    Title: MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships
    Authors: 黃瀚萱
    Huang, Hen-Hsen
    Chen, Yi-Ting
    Chen, Hsin-Hsi
    Contributors: 資科系
    Keywords: Multi-party dialogue;Interpersonal relationships;emotions;dataset
    Date: 2020-05
    Issue Date: 2021-06-04 14:42:07 (UTC+8)
    Abstract: 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.
    Relation: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, pp.610-614
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

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