|
|
基于通用信息抽取模型的年鉴大事记知识图谱构建研究—以林业大事记知识图谱为例 |
周则旭1,韩红旗1,张均胜1,周潇2,徐紫燕1 |
1 中国科学技术信息研究所 北京 100038 2 西安电子科技大学经济与管理学院 西安 710126 |
|
Research on the Construction of Knowledge Graph of Yearbook Memorabilia Based on Unified Information Extraction Model: Take Forestry Memorabilia Knowledge Graph as an Example |
ZHOU Zexu1,HAN Hongqi1,ZHANG Junsheng1,ZHOU Xiao2,XU Ziyan1 |
1 Institute of Scientific and Technical Information of China, Beijing 100038 2 School of Economics and Management Xidian University, Xi'an 710126 |
引用本文:
周则旭, 韩红旗, 张均胜, 周潇, 徐紫燕. 基于通用信息抽取模型的年鉴大事记知识图谱构建研究—以林业大事记知识图谱为例[J]. 档案学研究, 2023, 37(5): 140-148.
ZHOU Zexu, HAN Hongqi, ZHANG Junsheng, ZHOU Xiao, XU Ziyan. Research on the Construction of Knowledge Graph of Yearbook Memorabilia Based on Unified Information Extraction Model: Take Forestry Memorabilia Knowledge Graph as an Example. Archives Science Study, 2023, 37(5): 140-148.
链接本文:
http://journal12.magtechjournal.com/Jwk_dax/CN/10.16065/j.cnki.issn1002-1620.2023.05.017
或
http://journal12.magtechjournal.com/Jwk_dax/CN/Y2023/V37/I5/140
|
[1] | 邓尧. 纵向比较视野下省级综合年鉴大事记的质量管控—以《湖南年鉴》大事记编撰为例[J]. 新疆地方志, 2022(1):36-40. | [2] | [32] 徐彦红. 新时代做好高校档案编研工作探析—以首经贸档案编研工作为例[J]. 北京档案, 2020(3):39-40,46. | [3] | 戴羽, 吴颖冰, 刘青, 等. 国史视角下体育大事记撰写研究[J]. 成都体育学院学报, 2022(1):45-48. | [4] | 王佳宇, 李楹, 马春梅, 等. 融合实体信息的图卷积神经网络的短文本分类模型[J]. 天津师范大学学报(自然科学版), 2023(1):67-72. | [5] | 熊回香, 杨梦婷, 李玉媛. 基于深度学习的信息组织与检索研究综述[J]. 情报科学, 2020(3):3-10. | [6] | 漆桂林, 高桓, 吴天星. 知识图谱研究进展[J]. 情报工程, 2017(1):4-25. | [7] | 张海涛, 周红磊, 李佳玮, 等. 信息不完全状态下重大突发事件态势感知研究[J]. 情报学报, 2021(9):903-913. | [8] | 王成文, 熊励. 基于知识图谱的突发公共卫生事件辅助诊疗研究[J]. 情报科学, 2023(4):164-174. | [9] | 李纲, 王施运, 毛进, 等. 面向态势感知的国家安全事件图谱构建研究[J]. 情报学报, 2021(11):1164-1175. | [10] | 毛瑞彬, 朱菁, 李爱文, 等. 基于自然语言处理的产业链知识图谱构建[J]. 情报学报, 2022(3):287-299. | [11] | 王丹, 张海涛, 刘嫣, 等. 全景生态视角的微博舆情多维图谱构建研究[J]. 情报学报, 2019(12):1275-1285. | [12] | 熊欣, 王昊, 邓三鸿. 面向方志知识图谱的术语抽取模型迁移学习研究[J]. 情报理论与实践, 2021(4):176-184. | [13] | 赵雪芹, 路鑫雯, 李天娥, 等. 领域知识图谱在非遗档案资源知识组织中的应用探索[J]. 档案学通讯, 2021(3):55-62. | [14] | 刘慧琳, 牛力. 标准文件的知识图谱组织模式探究[J]. 档案学通讯, 2021(5):58-65. | [15] | 赵伟, 张览, 望俊成. 金融领域标准文献知识图谱的构建与实现[J]. 情报工程, 2022(6):103-113. | [16] | 邓君, 王阮. 口述历史档案资源知识图谱与多维知识发现研究[J]. 图书情报工作, 2022(7):4-16. | [17] | Riloff E. Automatically constructing a dictionary for information extraction tasks: proceedings of the eleventh national conference on artificial intelligence[C]. Menlo Park: AAAI Press, 1993:811-816. | [18] | Kim J T, Moldovan D I. Acquisition of linguistic patterns for knowledge-based information extraction[J]. IEEE Transactions on Knowledge and Data Engineering, 1995(5):713-724. | [19] | Chieu H L, Ng H T. A maximum entropy approach to information extraction from semi-structured and free text[C]// Eighteenth national conference on Artificial intelligence. 2002:786-791. | [20] | Llorens H, Saquete E. TimeML events recognition and classification learning CRF models with semantic roles: Proceedings of the 23rd international conference on computational linguistics[C]. Stroudsburg: ACL, 2010:725-733. | [21] | Ahn D. The stages of event extraction: Proceedings of the 48th annual meeting of the association for computational linguistics[C]. Stroudsburg: ACL, 2006:789-797. | [22] | Nguyen T H, Cho K, Grishman R. Joint event extraction via recurrent neural networks: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies[C]. Stroudsburg: ACL, 2016:300-309. | [23] | Chen Y, Xu L, Liu K, et al. Event extraction via dynamic multi-pooling convolutional neural networks: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing[C]. Stroudsburg: ACL, 2015:167-176. | [24] | Liu P, Yuan W, Fu J, et al. Pre-Train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing[J]. ACM Computing Surveys, 2023(9):1-35. | [25] | [33] 高立伟. 档案大事记编撰工作的实践与思考[J]. 办公室业务, 2020(11): 7,15. | [26] | [27] Lu Y, Liu Q, Dai D, et al. Unified Structure Generation for Universal Information Extraction: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics(Volume 1: Long Papers)[C]. Stroudsburg: ACL, 2022:5755-5772. | [28] | 黄奇, 钱韵洁, 袁勤俭, 等. 基于图形数据库的OWL本体存储模型研究[J]. 情报学报, 2019(3):310-321. | [29] | 邵权熙, 刘慧. 《中国林业年鉴》发展之路[J]. 年鉴信息与研究, 2008(5):29-31. | [30] | Nakayama H, Kubo T, Kamura J. Doccano: Text Annotation Tool for Human[EB/OL]. [2023-06-28]. https://github.com/doccano/doccano. | [31] | PaddleNLP Contributors. PaddleNLP: An Easy-to-use and High Performance NLP Library[EB/OL]. [2023-06-28]. https://github.com/paddlepaddle/paddlenlp. |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|