최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국융합학회논문지 = Journal of the Korea Convergence Society, v.13 no.2, 2022년, pp.13 - 20
김희두 (고려대학교 빅데이터융합학과) , 임희석 (고려대학교 컴퓨터학과)
This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by au...
H. Hassani, X. Huang & E. S. Silva. (2016). A review of data mining applications in crime. Statistical Analysis and Data Mining, 9(3), 139-154. DOI : 10.1002/sam.11312
J. Devlin, M. W. Chang, K. lee & K. Toutanova. (2019). BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding. In proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1, 4171-4186, DOI : 10.18653/v1/N19-1423
J. H. Lee, W. J. Yoon, S. D. Kim, D. H. Kim, S. K Kim, C. H. So & J. W. Kang. (2020) BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics, 36(4), 1234-1240. DOI : 10.1093/bioinformatics/btz682
M. Chau, J. J. Xu & H. Chen. (2002). Extracting meaningful entities from police narrative reports. In Proceedings of the 2002 Annual National Conference on Digital Government Research, Los Angeles
H. Chen, W. Chung, J. J. Xu, G. Wang, Y. Qin, & M. Chau. (2004). Crime data mining: a general framework and some examples. Computer, 37(4), 50-56.
C. H. Ku, IA. riberri & G. Leroy. (2008). Natural language processing and e-government: crime information extraction from heterogeneous data sources. Proceedings of the 9th Annual International Digital Government Research Conference, Canada. 162-170.
A. Alkaff & M. Mohd. (2013). Extraction of naitonality from crime news. Journal of Theoretical and Applied Information Technology, 54, 304-312.
M. Asharef, N. Omar & M. Albared. (2012). Arabic named entity recognition in crime documents. Journal of Theoretical and Applied Information Technology, 44(1), 1-6.
Arulanandam, R., Savarimuthu, B. T. R. & Purvis. M. A. (2014). Extracting crime information from online newspaper articles. Proceedings of the Second Australasian Web Conference, Auckland, New Zealand, 31-38.
K-S. Yang, C-C. Chen, Y-H. Tseng & Z-P. Ho. (2012). Name entity extraction based on POS tagging for criminal information analysis and relation visualization. Proceedings of the 6th International Conference on New Trends in Information Science and Service Science and Data Mining (ISSDM), October, Taipei. 785-789.
P Gohel. (2016) Crime information extraction from news articles. M Tech Dissertations. Dhirubhai Ambani Institute of Information and Communication Technology. Gandhinagar.
K. Srinivasa & P. S. Thilagam (2019). Crime base: Towards building a knowledge base for crime entities and their relationships from online news papers. Information Processing & Management, 56. DOI : org/10.1016/j.ipm.2019.102059
S. Hochreiter & J. Schmidhuber. (1997). Long short-ter memory. Neural computation, 9(8), 1735-1780. DOI : 10.1162/neco.1997.9.8.1735
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez & I. Polosukhin. (2017). Attention is all you need. In Proceedings of the 31st International Conference on Neural Information Processing Systems, 6000-6010.
K. Clark, M. T. Luong, Q. V. Le & C. D. Manning. (2020). ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.