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題名 Into the Dynamics of Interpersonal Relationships from Diachronic Documents: Text-based Temporal Social Network Construction
作者 薛化元
Hsueh, Hua-Yuan;Lee, Chieh-Yu;Henriot, Christian;Liu, Jyi-Shane;Huang, Hen-Hsen
貢獻者 台史所
關鍵詞 interpersonal relation extraction; sentence compression; temporal graph neural network; diachronic document processing; dynamics of social networks
日期 2023-10
上傳時間 11-Apr-2024 09:16:30 (UTC+8)
摘要 In this work, we propose an alternative approach for constructing temporal social networks from diachronic documents by leveraging both graph and textual information. Our framework utilizes a randomized relation extraction model to extract interpersonal relationships among people from long-form documents and then enhances the extracted social network through inference on a temporal knowledge graph. The effectiveness of our approach is demonstrated through experiments on two datasets, including a politician's diary and a newspaper archive, and it has potential applications in various interdisciplinary fields such as computational politics and computational history.
關聯 The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023), Technical Community on Intelligent Informatics
資料類型 conference
DOI https://doi.org/10.1109/WI-IAT59888.2023.00024
dc.contributor 台史所
dc.creator (作者) 薛化元
dc.creator (作者) Hsueh, Hua-Yuan;Lee, Chieh-Yu;Henriot, Christian;Liu, Jyi-Shane;Huang, Hen-Hsen
dc.date (日期) 2023-10
dc.date.accessioned 11-Apr-2024 09:16:30 (UTC+8)-
dc.date.available 11-Apr-2024 09:16:30 (UTC+8)-
dc.date.issued (上傳時間) 11-Apr-2024 09:16:30 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/150753-
dc.description.abstract (摘要) In this work, we propose an alternative approach for constructing temporal social networks from diachronic documents by leveraging both graph and textual information. Our framework utilizes a randomized relation extraction model to extract interpersonal relationships among people from long-form documents and then enhances the extracted social network through inference on a temporal knowledge graph. The effectiveness of our approach is demonstrated through experiments on two datasets, including a politician's diary and a newspaper archive, and it has potential applications in various interdisciplinary fields such as computational politics and computational history.
dc.format.extent 110 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023), Technical Community on Intelligent Informatics
dc.subject (關鍵詞) interpersonal relation extraction; sentence compression; temporal graph neural network; diachronic document processing; dynamics of social networks
dc.title (題名) Into the Dynamics of Interpersonal Relationships from Diachronic Documents: Text-based Temporal Social Network Construction
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1109/WI-IAT59888.2023.00024
dc.doi.uri (DOI) https://doi.org/10.1109/WI-IAT59888.2023.00024