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Specifically , by leveraging the merits of the deep Long Short-Term Memory -LRB- LSTM -RRB- subnetwork , the proposed model automatically captures the complex long-range temporal dynamics , which naturally avoids the typical sliding window design and thus ensures high computational efficiency .
 used for: deep Long Short-Term Memory -LRB- LSTM -RRB- subnetwork, model; feature of: long-range temporal dynamics, model
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: deep Long Short-Term Memory -LRB- LSTM -RRB- subnetwork, model; feature of: long-range temporal dynamics, model