Enabling synergy between psychology and natural language processing for e-Government: crime reporting and investigative intervie

We are developing an automated crime reporting and investigative interview system. The system incorporates cognitive interview techniques to maximize witness memory recall, and information extraction technology to extract and annotate crime entities from witness narratives and interview responses. Evaluations of the IE components of the system show that it captures 70 to 77% of information from witness narratives with 93 to 100% precision. Our development goal is for the system to approximate progressively the performance effectiveness of a human investigative interviewer and to generate graphical visualizations of crime report information. Categories and Subject Descriptors C.4 [Performance of Systems]: Design studies, measurement techniques, performance attributes. H.5.2 [User Interfaces]: Natural Language. I.2.7 [Natural Language Processing]: Text analysis. J.1 [Administrative Data Processing]: Government. J.4 [Social and Behavioral Sciences]: Psychology. General Terms Algorithms, ...

• Type: Conference
• Year: 2008
• Where: DGO
• Authors: Alicia Iriberri, Chih Hao Ku, Gondy Leroy
• Keywords: Cognitive Interview, Cognitive Interview Techniques, DGO 2008, Education, Witness Narratives