Comparing noun phrasing techniques for use with medical digital library tools
Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
COPLINK center: information and knowledge management for law enforcement
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
COPLINK: managing law enforcement data and knowledge
Communications of the ACM
Crime data mining: an overview and case studies
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Named entity recognition in a South African context
SAICSIT '06 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Mining communities and their relationships in blogs: A study of online hate groups
International Journal of Human-Computer Studies
Automated criminal link analysis based on domain knowledge: Research Articles
Journal of the American Society for Information Science and Technology
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Jigsaw: supporting investigative analysis through interactive visualization
Information Visualization
An Early Warning System for the Prediction of Criminal Careers
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A semi-supervised algorithm for pattern discovery in information extraction from textual data
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Intrusion detection and identification system using data mining and forensic techniques
IWSEC'07 Proceedings of the Security 2nd international conference on Advances in information and computer security
Automatically Constructing Dictionaries for Extracting Meaningful Crime Information from Arabic Text
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Fuzzy association rule mining for community crime pattern discovery
ACM SIGKDD Workshop on Intelligence and Security Informatics
Event-Driven document selection for terrorism information extraction
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Combined detection model for criminal network detection
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
A distance measure for determining similarity between criminal investigations
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Where do I start?: algorithmic strategies to guide intelligence analysts
Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Storytelling in entity networks to support intelligence analysts
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Named entities in judicial transcriptions: extended conditional random fields
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Crime profiling for the Arabic language using computational linguistic techniques
Information Processing and Management: an International Journal
| Hi-index | 0.02 |
Valuable criminal-justice data in free texts such as police narrative reports are currently difficult to be accessed and used by intelligence investigators in crime analyses. It would be desirable to automatically identify from text reports meaningful entities, such as person names, addresses, narcotic drugs, or vehicle names to facilitate crime investigation. In this paper, we report our work on a neural network-based entity extractor, which applies named-entity extraction techniques to identify useful entities from police narrative reports. Preliminary evaluation results demonstrated that our approach is feasible and has some potential values for real-life applications. Our system achieved encouraging precision and recall rates for person names and narcotic drugs, but did not perform well for addresses and personal properties. Our future work includes conducting larger-scale evaluation studies and enhancing the system to capture human knowledge interactively.