|
|
|
|
|
Xiaohui Cui, Yu Yang, Dongmei Li, Xiaolong Qu, Lei Yao, Sisi Luo and Chao Song
Recently, researchers have extensively explored various methods for electronic medical record named entity recognition, including character-based, word-based, and hybrid methods. Nonetheless, these methods frequently disregard the semantic context of ent...
ver más
|
|
|
|
|
|
|
|
|
Yu Dai, Yuqiao Liu, Lei Yang and Yufan Fu
Idioms are a unique class of words in the Chinese language that can be challenging for Chinese machine reading comprehension due to their formal simplicity and the potential mismatch between their literal and figurative meanings. To address this issue, t...
ver más
|
|
|
|
|
|
|
|
|
Zhanna Mingaleva, Olga Chernova and Inna V. Mitrofanova
The growing negative anthropogenic impact on the environment causes scientific interest in the problems of water management. The increasing number of publications in this scientific field requires their intellectual systematization. The purpose of this s...
ver más
|
|
|
|
|
|
|
|
|
Binbin Shi, Lijuan Zhang, Jie Huang, Huilin Zheng, Jian Wan and Lei Zhang
Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese datasets...
ver más
|
|
|
|
|
|
|
|
|
Hongliang Liu, Nianxue Luo and Qiansheng Zhao
China is one of the countries most affected by typhoon disasters. It is of great significance to study the mechanism of typhoon disasters and construct a typhoon disaster chain for emergency management and disaster reduction. The evolution process of typ...
ver más
|
|
|
|