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Long text semantic matching model based on BERT and dense composite network
更新时间：2025-05-26

    • Long text semantic matching model based on BERT and dense composite network

    • “In the field of long text semantic matching, experts have proposed a new method based on BERT and dense composite networks, which significantly improves the matching accuracy and provides a new solution for solving the problem of long text matching.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 1, Pages: 232-239(2024)
    • 作者机构：

      1.桂林电子科技大学 机电工程学院，广西 桂林 541000

      2.桂林电子科技大学 信息与通信学院，广西 桂林 541000

    • DOI：10.13229/j.cnki.jdxbgxb.20220239    

      CLC： TP391.1

    • Received：12 March 2022，

      Published：30 January 2024

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  • CHEN Yue-lin,GAO Zhu-cheng,CAI Xiao-dong.Long text semantic matching model based on BERT and dense composite network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(01):232-239. DOI： 10.13229/j.cnki.jdxbgxb.20220239.

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