To examine the utility of our features in a neural framework, we further adapt our word-level task as a tagging task, and use LSTM as a baseline.
we concatenate an OP and PC with a special token as the separator so that an LSTM model can potentially distinguish the OP from PC, and then tag each word based on the label of its stemmed version.