A survey on legal question-answering systems

被引:8
|
作者
Martinez-Gil, Jorge [1 ]
机构
[1] Software Competence Ctr Hagenberg, Softwarepk 32a, A-4232 Hagenberg Im Muhlkreis, Austria
关键词
Knowledge engineering; Data engineering; Legal intelligence; Legal information processing; Legal question-answering; LAW; CONTEXT; NETWORK;
D O I
10.1016/j.cosrev.2023.100552
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many legal professionals think the explosion of information about local, regional, national, and international legislation makes their practice more costly, time-consuming, and error-prone. The two main reasons are that most legislation is usually unstructured, and the tremendous amount and pace with which laws are released causes information overload in their daily tasks. In the case of the legal domain, the research community agrees that a system allowing to generate of automatic responses to legal questions could substantially impact many practical implications in daily activities. The degree of usefulness is such that even a semi-automatic solution could significantly help reduce the workload. This is mainly because a Question-Answering system could automatically process a massive amount of legal resources to answer a question or doubt in seconds. It could save resources in the form of effort, money, and time for many professionals in the legal sector. This work quantitatively and qualitatively survey the existing solutions to meet this challenge.(c) 2023Published by Elsevier Inc.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] A Question-Answering Approach to Evaluating Legal Summaries
    Xu, Huihui
    Ashley, Kevin
    [J]. LEGAL KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 379 : 293 - 298
  • [2] Question-Answering Systems: Development and Prospects
    Lapshin, V. A.
    [J]. AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS, 2012, 46 (03) : 138 - 145
  • [3] A Framework of Evaluation for Question-Answering Systems
    El Ayari, Sarra
    Grau, Brigitte
    [J]. ADVANCES IN INFORMATION RETRIEVAL, PROCEEDINGS, 2009, 5478 : 744 - 748
  • [4] Question-answering systems: Development and prospects
    V. A. Lapshin
    [J]. Automatic Documentation and Mathematical Linguistics, 2012, 46 (3) : 138 - 145
  • [5] Question-answering systems in knowledge management
    Moldovan, D
    [J]. IEEE INTELLIGENT SYSTEMS, 2001, 16 (06) : 90 - 92
  • [6] Empirical Studies in Question-Answering Systems: A Discussion
    Krueger, Jacob
    Schroeter, Ivonne
    Kenner, Andy
    Leich, Thomas
    [J]. 2017 IEEE/ACM 5TH INTERNATIONAL WORKSHOP ON CONDUCTING EMPIRICAL STUDIES IN INDUSTRY (CESI 2017), 2017, : 23 - 26
  • [7] Knowledge trees and protoforms in question-answering systems
    Yager, RR
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (04): : 550 - 563
  • [8] STORAGE ECONOMY OF INFERENTIAL QUESTION-ANSWERING SYSTEMS
    PEARL, J
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1975, 5 (06): : 595 - 602
  • [9] FORMAL METHODS IN DESIGN OF QUESTION-ANSWERING SYSTEMS
    SANDEWALL, E
    [J]. ARTIFICIAL INTELLIGENCE, 1971, 2 (02) : 129 - 145
  • [10] Vote Calibration in Community Question-Answering Systems
    Chen, Bee-Chung
    Dasgupta, Anirban
    Wang, Xuanhui
    Yang, Jie
    [J]. SIGIR 2012: PROCEEDINGS OF THE 35TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2012, : 781 - 790