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 | |