We conjecture that chunking increases vocabulary sizes.
the naive incorporation (i.e., Baseline Chunk) might suffer from the data sparseness problem, whereas Proposed IO might alleviate the sparseness problem by the hierarchical structure of the encoder (i.e., word-level LSTM layer).