Research on Automatic Generation of Engineering Geological Survey Report Paragraphs Based on Dynamic Data Template
DOI: 10.23977/acss.2023.070108 | Downloads: 35 | Views: 697
Author(s)
Aoxue Han 1, Zhinan Lin 2
Affiliation(s)
1 Hunan University of Science and Technology, Xiangtan, China
2 Hunan Vocational Institute of Technology, Xiangtan, China
Corresponding Author
Aoxue HanABSTRACT
As the final result of geological exploration, the engineering geological survey report needs to be prepared in large quantities, and the efficiency of manual preparation of the report is not high enough. To solve this problem, this paper proposes a standardized report paragraph generation model based on dynamic data templates. Through dynamic data template, the structure and content of report paragraphs are directly controlled by data; To solve the problem of template generating documents, a set of node tree rules is designed, and LaTeX files are generated by traversing the template node tree. The experiment shows that paragraphs can be modified by modifying data in terms of structure, content and text format, which improves work efficiency and has high use value in highly standardized engineering geological survey reports.
KEYWORDS
Paragraph Generation, Dynamic Data, Node Tree, Template EditingCITE THIS PAPER
Aoxue Han, Zhinan Lin. Research on Automatic Generation of Engineering Geological Survey Report Paragraphs Based on Dynamic Data Template. Advances in Computer, Signals and Systems (2023) Vol. 7: 59-66. DOI: http://dx.doi.org/10.23977/acss.2023.070108.
REFERENCES
[1] Du Juan. Preparation of engineering geological survey report [J]. Chinese and foreign entrepreneurs, 2015 (12): 219-220.
[2] Yu Zhenlong. Research and implementation of natural language generation technology based on LSTM [D]. Beijing University of Posts and Telecommunications, 2018.
[3] Li Xueqing, Wang Shi, Wang Zhujun, Zhu Junwu. Overview of natural language generation [J]. Computer Application, 2021, 41 (05): 1227-1235.
[4] Bai Xinyu Design and implementation of automatic generation system of digestive endoscope report based on intelligent template [D]. Shandong University, 2021. DOI: 10.27272/d.cnki.gshdu.2021.004548.
[5] Sun Jingjing Research on Word intelligent report based on label technology [D]. Ocean University of China, 2013.
[6] Dong Gaozhen. Design and implementation of logging report generation system based on. NET [J]. Logging Engineering, 2014, 25 (01): 70-72+94.
[7] Wang Xiliang. Research and application of public meteorological service document automation [J]. Mid-low latitude mountain meteorology, 2018, 42 (03): 95-98.
[8] Fu Yan, Ji Min, Jia Ning. Design and implementation of oil fingerprint identification report generation system [J]. Ocean Information, 2018, 33 (02): 58-62. DOI: 10.19661/j.cnki.mi. 2018. 02.011.
[9] Jiang Peng, Xu Feng, Qi Rongzhi. Construction of an intelligent generation model for flood control documents based on cloud platform [J]. Water Resources Information, 2013 (03): 25-32. DOI: 10.19364/j.1674-9405.2013.03.008.
[10] Abel Gómez, M. Carmen Penadés, José H. Canós, Marcos R.S. Borges, Manuel Llavador. A framework for variable content document generation with multiple actors [J]. Information and Software Technology, 2014, 56(9).
[11] Jin Liangfeng, Zhou Wenxiang. Automatic generation of WORD test report [J]. China Test Technology, 2007 (04): 112-115.
[12] Luo Rong, Huang Jun, Li Maofeng, Liu Zhiqin. Rapid generation method of complex documents based on Word template [J]. Computer Application and Software, 2020, 37 (10): 57-63.
[13] Lei Yujiao, Deng Jiqiu, Lin Jian, Dick Jeffrey M., Lessani Mohammad Naser, Liu Chaoyue. Research of Automatic Generation for Engineering Geological Survey Reports Based on a Four-Dimensional Dynamic Template [J]. ISPRS International Journal of Geo-Information, 2020, 9(9).
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