treelstm.pytorch
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Why consider cell state vectors instead of hidden state vectors
Hi, I was going through another implementation of tree LSTM from https://github.com/ttpro1995/TreeLSTMSentiment where for sentiment classification, they consider the hidden state values instead of the cell state values. The original paper also used the notation "h" rather than "c" while doing the vector multiplication and subtraction in section 4.2. My question is why did you went for "c" instead of "h" and why not both?