Our idea is based on fundamental notion that the syntactic structure of a sentence consists of binary asymmetrical relations between words (Nivre, 2005).
we propose a novel DNN framework which combines Long Short-Term Memory (LSTM) (Hochreiter and Schmidhuber, 1997) and Convolutional Neural Networks (CNN) (LeCun et al., 1989) with a multi-attention layer.