Machine Propositional Model Research Based on Natural Language Processing

被引：0
|
作者：
Zhou, Jie [1 ]
Sun, Yuqi [2 ]
Wang, Baoping [3 ]
Wang, Zheng [4 ]
Li, Kun [5 ]
Li, Xujia [6 ]
机构：
[1] City Univ Macau, Sch Educ, Macau, Peoples R China
[2] Minist Educ, Engn Res Ctr Appl Technol Machine Translat & Arti, Macao Polytech Inst, Macau, Peoples R China
[3] City Univ Macau, Fac Data Sci, Macau, Peoples R China
[4] Shandong Youth Univ Polit Sci, Sch Informat Engn, Jinan, Shandong, Peoples R China
[5] Beijing 171 High Sch, Beijing, Peoples R China
[6] New China Asset Management Co, Dept Informat Management, Beijing, Peoples R China
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA) | 2022年
关键词：
Machine proposition; machine reading comprehension; text summarization; automatic scoring;
D O I：
10.1109/EEBDA53927.2022.9745025
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Machine propositions are the research frontier of natural language processing technology, and the core of the technology path is the result of the development of reading comprehension and question answering systems. Machine propositions can help save a lot of manpower and time, especially in the case of the continuous development of the Covid-19, and help the teaching acceptance and learning evaluation of online learning. At present, the simultaneous pursuit of autonomous propositions and precision requirements in the academic field of machine propositions is the research focus and difficulty.
引用
收藏
页码：599 / 602
页数：4
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