TY - GEN
T1 - Natural language processing and e-government
T2 - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
AU - Iriberri, Alicia
AU - Leroy, Gondy
PY - 2007
Y1 - 2007
N2 - Crime reporting needs to be possible 24/7. Although 911 and tip-lines are the most publicized reporting mechanisms, several other options exist, ranging from in-person reporting to online submissions. Internet-based crime reporting systems allow victims and witnesses of crime to report incidents to police 24/7 from any location. However, these existing e-mail and text-based systems provide little support for witnesses' memory recall leading to reports with less information and lower accuracy. These systems also do not facilitate reuse and integration of the reported information with other information systems. We are developing an anonymous Online Crime Reporting System that is designed to extract relevant crime information from witness' narratives and to ask additional questions based on that information. We leverage natural language processing and investigative interviewing techniques to support memory recall and map the information directly to a database to support information reuse. We report on the evaluation of the Suspect Description Module (SDM) of the system. Our interface captures 70% (recall) of information from witness narratives with 100% precision. Additional modules will follow the design and development methods used with this module.
AB - Crime reporting needs to be possible 24/7. Although 911 and tip-lines are the most publicized reporting mechanisms, several other options exist, ranging from in-person reporting to online submissions. Internet-based crime reporting systems allow victims and witnesses of crime to report incidents to police 24/7 from any location. However, these existing e-mail and text-based systems provide little support for witnesses' memory recall leading to reports with less information and lower accuracy. These systems also do not facilitate reuse and integration of the reported information with other information systems. We are developing an anonymous Online Crime Reporting System that is designed to extract relevant crime information from witness' narratives and to ask additional questions based on that information. We leverage natural language processing and investigative interviewing techniques to support memory recall and map the information directly to a database to support information reuse. We report on the evaluation of the Suspect Description Module (SDM) of the system. Our interface captures 70% (recall) of information from witness narratives with 100% precision. Additional modules will follow the design and development methods used with this module.
UR - http://www.scopus.com/inward/record.url?scp=47949130167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47949130167&partnerID=8YFLogxK
U2 - 10.1109/IRI.2007.4296624
DO - 10.1109/IRI.2007.4296624
M3 - Conference contribution
AN - SCOPUS:47949130167
SN - 1424414997
SN - 9781424414994
T3 - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
SP - 221
EP - 226
BT - 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
Y2 - 13 August 2007 through 15 August 2007
ER -