KFEX-N: A table-text data question-answering model based on knowledge-fusion encoder and EX-N tree decoder

被引:0
|
作者
Tao, Ye [1 ]
Liu, Jiawang [1 ]
Li, Hui [1 ]
Cao, Wenqian [2 ]
Qin, Xiugong [3 ]
Tian, Yunlong [4 ]
Du, Yongjie [4 ]
机构
[1] College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao,266061, China
[2] School of Information Engineering, Shandong Youth University of Political Science, Jinan,250103, China
[3] Beijing Research Institute of Automation for Machinery Industry Co., Ltd., Beijing,100000, China
[4] National Engineering Research Center of Digital Home Networking, Qingdao,266000, China
关键词
50;
D O I
10.1016/j.neucom.2024.127795
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 1 条
  • [1] KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data
    Nararatwong, Rungsiman
    Kertkeidkachorn, Natthawut
    Ichise, Ryutaro
    [J]. PROCEEDINGS OF DEEP LEARNING INSIDE OUT (DEELIO 2022): THE 3RD WORKSHOP ON KNOWLEDGE EXTRACTION AND INTEGRATION FOR DEEP LEARNING ARCHITECTURES, 2022, : 53 - 61