From Reports to Maps

Schade, Dr. Ulrich and Frey, Miloslaw and Becker, Sebastian (2004) From Reports to Maps. [Conference Paper] (In Press)

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In this paper, we will sketch a project in progress. The project aims at an application of a command and control system. The application is meant to process military reports written in natural language. It exploits computer linguistic techniques, especially information extraction and ontological augmentation. A prototype has already be completed. A real world application of report processing has to go beyond pure syntactic parsing. Semantic analysis is needed and the meaning of the report has to be constructed. Even more, the meaning has to be represented in a format such that it can be visualized within the so called ``common operational picture'' (COP). The COP is an interactive map displaying information. COP standards are provided by NATO. Since military operations of our days -- war operations as well as peace-keeping and nation building ones -- involve forces of many nations, the COP serves as main tool for synchronizing actions and plans. The paper at hand will provide some insights what kind of problems come along if language processing has to result in map visualization. It also will describe some solutions to overcome these problems.

Item Type:Conference Paper
Subjects:Computer Science > Language
Linguistics > Pragmatics
ID Code:3958
Deposited By: Frey, Miloslaw
Deposited On:21 Nov 2004
Last Modified:11 Mar 2011 08:55

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References in Article

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J. Bresnan. Lexical–Functional Syntax. Blackwell, Oxford, UK, 2001.

M. Hecking. Information extraction from battlefield reports. In Proceedings of the 8th ICCRTS, Washington, DC, 2003. CCRP.

U. Schade. Automatic report processing. In Proceedings of the 9th ICCRTS, Washington, DC, 2004. CCRP.

U. Schade and M. Frey. Beyond information extraction: The role of ontology in military report processing. In E. Buchberger, editor, Proceedings of KONVENS 2004, Wien, 2004.

S. M. Shieber. An Introduction to Unification–Based Approaches to Grammar. CSLI, Stanford, CA, 1986.


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