참고문헌
- 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. https://doi.org/10.1109/MC.2004.1297301
- 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.
- R. Bache, F. Crestani, D. Canter & D. Youngs. (2007). Application of Language Models to Suspect Prioritisation and Suspect Likelihood in Serial Crimes. Third International Symposium on Information Assurance and Security, 399-404. DOI : 10.1109/IAS.2007.58
- K. R. Rahem & N. Omar. (2014). Drug-related crime information extraction and analysis. Proceedings of the 6th International Conference on Information Technology and Multimedia, pp. 250-254. DOI : 10.1109/ICIMU.2014.7066639
- A. Alkaff & M. Mohd. (2013). Extraction of naitonality from crime news. Journal of Theoretical and Applied Information Technology, 54, 304-312.
- S. Sathyadevan, M. S. Devan & S. S. Gangadharan (2014). Crime analysis and prediction using data mining. 2014 First International Conference on Networks & Soft Computing (ICNSC2014), 406-412. DOI : 10.1109/CNSC.2014.6906719.
- 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.
- J. Johnson, A. Miller, L. Khan, B. Thuraisingham, & M. Kantarcioglu. (2011). Extraction of expanded entity phrases. Proceedings of the IEEE International Conference on Intelligence and Security Informatics, Beijing, China, 107-112. DOI : 10.1109/ISI.2011.5984059
- 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.