Named entity recognition in crime using machine learning approach

被引：8
|
作者：
机构：
[1] Shabat, Hafedh
[2] Omar, Nazlia
[3] Rahem, Khmael
来源：
Shabat, Hafedh (h2005_ali@yahoo.com) | 1600年 / Springer Verlag卷 / 8870期
关键词：
Crime;
D O I：
10.1007/978-3-319-12844-3_24
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Named entity recognition in Bengali and Hindi using support vector machine
    Ekbal, Asif
    Bandyopadhyay, Sivaji
    LINGUISTICAE INVESTIGATIONES, 2011, 34 (01): : 35 - 67
  • [42] FLightNER: A Federated Learning Approach to Lightweight Named-Entity Recognition
    Abadeer, Macarious
    Shi, Wei
    Corriveau, Jean-Pierre
    2022 IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, 2022, : 687 - 694
  • [43] Pattern acquisition for Chinese named entity recognition: A supervised learning approach
    Fang, XS
    Sheng, HY
    ADVANCES IN INFORMATION SYSTEMS, 2002, 2457 : 166 - 175
  • [44] Named Entity Recognition Using a New Fuzzy Support Vector Machine
    Mansouri, Alireza
    Affendey, Lilly Suriani
    Mamat, Ali
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (02): : 320 - 325
  • [45] Active learning approach using a modified least confidence sampling strategy for named entity recognition
    Ankit Agrawal
    Sarsij Tripathi
    Manu Vardhan
    Progress in Artificial Intelligence, 2021, 10 : 113 - 128
  • [46] Active learning approach using a modified least confidence sampling strategy for named entity recognition
    Agrawal, Ankit
    Tripathi, Sarsij
    Vardhan, Manu
    PROGRESS IN ARTIFICIAL INTELLIGENCE, 2021, 10 (02) : 113 - 128
  • [47] Quantitative Analysis of Art Market Using Ontologies, Named Entity Recognition and Machine Learning: A Case Study
    Filipiak, Dominik
    Agt-Rickauer, Henning
    Hentschel, Christian
    Filipowska, Agata
    Sack, Harald
    BUSINESS INFORMATION SYSTEMS (BIS 2016), 2016, 255 : 79 - 90
  • [48] Using machine learning to maintain rule-based named-entity recognition and classification systems
    Petasis, G
    Vichot, F
    Wolinski, F
    Paliouras, G
    Karkaletsis, V
    Spyropoulos, CD
    39TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2001, : 418 - 425
  • [49] Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models
    Xu, Qian
    Zhou, Yue
    Liao, Bolin
    Xin, Zirui
    Xie, Wenzhao
    Hu, Chao
    Luo, Aijing
    BIOENGINEERING-BASEL, 2023, 10 (06):
  • [50] Learning In-context Learning for Named Entity Recognition
    Chen, Jiawei
    Lu, Yaojie
    Lin, Hongyu
    Lou, Jie
    Jia, Wei
    Dai, Dai
    Wu, Hua
    Cao, Boxi
    Han, Xianpei
    Sun, Le
    PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2023): LONG PAPERS, VOL 1, 2023, : 13661 - 13675
12345