In contrast, (Xie and Eric, 2017) explicitly modeled candidate answers as sequences of constituents by encoding individual constituents using a chain oftrees LSTM (CT-LSTM) and tree-guided attention mechanism.
their formulation of constituents is more complicated than ours and as we will see, a direct use of constituents as answer chunk is much less complicated and yields better results.