Papers with Tree Long Short-Term Memory Networks
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness (P18-1)
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| Challenge: | Recent success of Recurrent Neural Networks (RNNs) in Machine Translation (MT) has prompted attention mechanisms to be used in machine translation. |
| Approach: | They propose a tree-structured attention model on Tree Long Short-Term Memory Networks . they also experiment with three LSTM variants: bidirectional-LSTMs, Constituency Tree-LSTS, and Dependency Tree LSTS. |
| Outcome: | The proposed model is based on tree-LSTMs, constituency trees, and dependencies trees. |