Top-down Tree Long Short-Term Memory Networks

Understand

Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have been successfully applied to a variety of sequence modeling tasks.

• In this paper we develop Tree Long Short-Term Memory (TreeLSTM), a neural network model based on LSTM, which is designed to predict a tree rather than a linear sequence.
• TreeLSTM defines the probability of a sentence by estimating the generation probability of its dependency tree.
• At each time step, a node is generated based on the representation of the generated sub-tree.