Intelligent Generation of Military Document

Intelligent document classification

In this work we investigate some technical questions related to the application of neural networks in document classification. First, we discuss the effects of different averaging protocols for the 2 statistic used to remove non-informative terms. This is an especially relevant issue for the neural network technique, which requires an aggressive dimensionality reduction to be feasible. Second, ...

Intelligent delivery of military lessons learned

Lessons learned systems are a common knowledge management initiative among the American government (e.g., Department of Defense, Department of Energy, NASA). An effective lessons learned process can substantially improve decision processes, thus representing an essential chapter in a knowledge sharing digital government. Unfortunately, these systems typically fail to deliver lessons when and wh...

Document classification in structured military messages

We present new results for the DSTO project on document classification of military messages. We report more specifically on the improvements to the Part-Of-Speech (POS) tagging, a probabilistic process that assigns a tag to a token, and discuss the training for Date Time Groups POS tags. A new implementation of the rule-based classifier is described. The results obtained on two databases of rea...

Intelligent access to document archives

Automated Generation of MetaView Topic Graphs for Intelligent Presentation of Large Scale Document Collections

This paper presents a system that facilitates intelligent presentation of the large collection of papers in a Library, on the Web or in a digital collection by utilizing mechanisms that produce a graph of document clusters where each cluster represents an " intellectually significant " topic. The resultant set of linked groups form a network of topics that can be perceived by people in two diff...