Abstract:Tree-structured LSTM (Long Short-Term Memory) is a promising concept to consider long-distance interaction over hierarchies with syntactic information. Besides, compared with chain-structured one, tree-structured LSTM has better modularity of learning process. However, there still remains the challenge concerning hyperparameter tuning in treestructured LSTM. Mainly, hyperparameter of mini-batch SGD (Stochastic Gradient Descent) is one of the most important factors which decides the quality of the prediction of… Show more
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