@inproceedings{49d4797251a64383938b1f1ad5c6c52c,
title = "Machine Propositional Model Research Based on Natural Language Processing",
abstract = "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.",
keywords = "Machine proposition, automatic scoring, machine reading comprehension, text summarization",
author = "Jie Zhou and Yuqi Sun and Baoping Wang and Zheng Wang and Kun Li and Xujia Li",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022 ; Conference date: 25-02-2022 Through 27-02-2022",
year = "2022",
doi = "10.1109/EEBDA53927.2022.9745025",
language = "English",
series = "2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "599--602",
booktitle = "2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022",
address = "United States",
}