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Script event prediction: methods, evaluation and challenges

Liu Yuting1,2
Liu Ming2
Wang Baowei1
Ding Kun2
Liu Shanshan2
Liu Liu2,3
1. School of Computer Science, Nanjing University of Information Science & Technology, Nanjing 210044, China
2. The Sixty-Third Research Institute of National University of Defense Technology, Nanjing 210007, China
3. School of Information Engineering, Suqian University, Suqian Jiangsu 223800, China

Abstract

Compared to classic natural language processing tasks like Q&A, script event prediction has garnered less attention. In order to deploy subsequent events appropriately, script event prediction intends to accurately forecast future events with a given contextual event. This study is quite important and requires summarization. Based on the script event prediction task, this paper firstly proposed fundamental concept of script event prediction. Then it described argument composition and event representation learning in event characterization. Also, event representation learning was shown from embedded coding and semantic enhancement. Next, this paper summarized script modeling approaches from event pair, event chain, event graph, and integrated modeling in detail. In addition, it examined the impacts of different models, and horizontally evaluated the effects of the existing models. Finally, this paper provided a summary of the issues with the present study, along with an outlook on promising future research areas.

Foundation Support

中国博士后科学基金资助项目(2021MD703983)
江苏省高等学校自然科学研究面上项目(20KJB413003)
国家自然科学基金面上项目(61972207)
国家自然科学基金—通用联合基金重点项目(U1836208)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0494
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Survey
Pages: 1303-1311
Serial Number: 1001-3695(2023)05-003-1303-09

Publish History

[2022-12-30] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

刘玉婷, 刘茗, 王保卫, 等. 脚本事件预测:方法、评测与挑战 [J]. 计算机应用研究, 2023, 40 (5): 1303-1311. (Liu Yuting, Liu Ming, Wang Baowei, et al. Script event prediction: methods, evaluation and challenges [J]. Application Research of Computers, 2023, 40 (5): 1303-1311. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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