,

Jing Chu1, Yumeng Liu1, Qi Yue1

  • 1School of Automation, Xi'an University of Posts & Telecommunications, 618 West Chang'an Street, Chang'an District, Xi'an, 710121, China.

Scientific reports
|January 9, 2024
PubMed
概括

本研究介绍了一种新的多功能融合变压器 (MFT) 模型,用于航空航天领域的命名实体识别 (NER). 在定制的中国航空航天数据集上,MFT模型获得了86.10%的F1得分.