Li, Xucheng; Peng, Zhihao; Sun, Wei; Chen, Xixin
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
Conference Proceeding
Aiming at the problems of complicated formats in graduation thesis writing, a smart graduation thesis format parsing and generation model is proposed. First, a model is built based on the features of the thesis templates analyzed and extracted. Then templates are generated automatically according to user preferences. Finally, content of the thesis is incorporated into the specified template. Experiment shows that it can automatically generate format information according to the templates without human intervention, which could save a lot of time and reduce format errors.
