Natural language understanding for soft information fusion

  title={Natural language understanding for soft information fusion},
  author={Stuart C. Shapiro and Daniel R. Schlegel},
  journal={Proceedings of the 16th International Conference on Information Fusion},
Tractor is a system for understanding English messages within the context of hard and soft information fusion for situation assessment. Tractor processes a message through syntactic processors, and represents the result in a formal knowledge representation language. The result is a hybrid syntactic-semantic knowledge base that is mostly syntactic. Tractor then adds relevant ontological and geographic information. Finally, it applies hand-crafted syntax-semantics mapping rules to convert the… CONTINUE READING
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