Модель нейронной сети последовательности на основе внимания

method ID: attentionbasedsequencetosequenceneuralnetwork

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Fast and Accurate Reordering with ITG Transition RNN

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractAttention-based sequence-to-sequence neural network models learn to jointly align and translate. The quadratic-time attention mechanism is powerful as it is capable of handling arbitrary long-distance reordering, but computationally expensive. In …...

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