Major issue in supervised classifier is training set dependency. Can I add the test tuples which is classified based on semantic template and
make my training set as dynamic?
It only make sense to say that a your neural network is dynamic if (and only if) it has the ability to create and destroy neurons. It has nothing to do with a test sample. The purpose of the test samples are to not create a bias on the training.
Maybe, you can find an idea looking for "transductive" learning algorithms.
https://en.wikipedia.org/wiki/Transduction_(machine_learning)
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