Q-Learning for Shift-Reduce Parsing in Indonesian Tree-LSTM-Based Text Generation
Tree-LSTM algorithm accommodates tree structure processing to extract information outside the linear sequence pattern. The use of Tree-LSTM in text generation problems requires the help of an external parser at each generation iteration. Developing a good parser demands the representation of complex...
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| Format: | Other |
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ACM Transactions on Asian and Low-Resource Language Information Processing
2022
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