Attentive deep neural networks for legal document retrieval

被引：0
|
作者：
Nguyen, Ha-Thanh [1 ]
Phi, Manh-Kien [2 ]
Ngo, Xuan-Bach [2 ]
Tran, Vu [1 ]
Nguyen, Le-Minh [1 ]
Tu, Minh-Phuong [2 ]
机构：
[1] School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Nomi, Japan
[2] Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Viet Nam
来源：
Artificial Intelligence and Law | / 32卷 / 01期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Large dataset
引用
收藏
页码：57 / 86
相关论文
共 50 条
  • [21] Document structure-driven investigative information retrieval
    Ketola, Tuomas
    Roelleke, Thomas
    Information Systems, 121
  • [22] Training of sparse and dense deep neural networks: Fewer parameters, same performance
    Chicchi, Lorenzo
    Giambagli, Lorenzo
    Buffoni, Lorenzo
    Carletti, Timoteo
    Ciavarella, Marco
    Fanelli, Duccio
    PHYSICAL REVIEW E, 2021, 104 (05)
  • [23] Visualizing Transform Relations of Multilayers in Deep Neural Networks for ISAR Target Recognition
    Liu, Jiaming
    Xing, Mengdao
    Tang, Wangshuo
    Chen, Changhong
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15 : 7052 - 7064
  • [24] Tilted-Mode All-Optical Diffractive Deep Neural Networks
    Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian
    116026, China
    不详
    116026, China
    不详
    100124, China
    Micromachines, 1
  • [25] TEST-TIME DETECTION OF BACKDOOR TRIGGERS FOR POISONED DEEP NEURAL NETWORKS
    Li, Xi
    Xiang, Zhen
    Miller, David J.
    Kesidis, George
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2022, 2022-May : 3333 - 3337
  • [26] COMPARATIVE DOCUMENT EVALUATION AS A FEEDBACK IN ONLINE INFORMATION-RETRIEVAL
    SOLAK, JJ
    INFORMATION PROCESSING & MANAGEMENT, 1983, 19 (03) : 141 - 149
  • [27] HIERARCHICAL DATA BASE ORGANIZATION FOR DOCUMENT INFORMATION RETRIEVAL.
    Ito, Tetsuro
    Toyoda, Junichi
    Kizawa, Makoto
    Systems, computers, controls, 1979, 10 (02): : 39 - 47
  • [28] FUZZY MODEL OF A DOCUMENT RETRIEVAL SYSTEM AND ITS IMPLEMENTATION.
    Kaji, Hiroyuki
    Nitta, Yoshihiko
    Systems, computers, controls, 1979, 10 (02): : 76 - 84
  • [29] Arabic sentiment analysis using dependency-based rules and deep neural networks
    Diwali, Arwa
    Dashtipour, Kia
    Saeedi, Kawther
    Gogate, Mandar
    Cambria, Erik
    Hussain, Amir
    Applied Soft Computing, 2022, 127
  • [30] Special Issue on Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications Foreword
    Nguyen, Tu N.
    Lee, Warren Huang-Chen
    Nguyen, Nam P.
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2022, 30 (03) : V - VII
12345