Content Analysis of HUMINT Reports
Abstract
The new deployments of the German Federal Armed Forces cause the necessity to analyze large quantities of Human Intelligence (HUMINT) reports. These reports are characterized by a large topical and linguistic variety. Therefore, they are good candidates for applying techniques from computational linguistics. In this paper, the ZENON project is described, in which an information extraction approach is used for the (partial) content analysis of English HUMINT reports from the KFOR (Kosovo Force) deployment of the Bundeswehr. The overall objective of this research is to realize a graphically navigatable Entity-Action-Network. The information about the actions and named entities are identified from each sentence and the content of the sentences are formally represented in typed feature structures. These structures can be combined and presented in a navigatable network. After a short introduction, the information extraction approach is explained. The ZENON project is described in detail. English HUMINT reports from the KFOR deployment form the basis for the development of the experimental ZENON system. These reports are used to build a specialized text micro-corpus with semantic annotations. This KFOR text corpus is described as well.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2006
- Accession Number
- ADA461587
Entities
People
- Matthias Hecking