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Does it make sense to add word embeddings as additional features for LSTM model?

I have an LSTM model. This model takes as input tokens. Those tokens represent XML markups extracted from some XML files. My model is working fine. However, I want to optimize it by adding word ...
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How should the output layer of an LSTM be when the output are word embeddings?

I'm having trouble grasping how to output word embeddings from an LSTM model. I'm seeing many examples using a softmax activation function on the output, but for that I would need to output one hot ...