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Attention Strategies for Multi-Source Sequence-to-Sequence Learning

Abstract · Apr 21, 2017 14:39 ·

attend sequence attention mechanism encoder s2s source decoder ape cs-cl cs-ne

Arxiv Abstract

  • Jindřich Libovický
  • Jindřich Helcl

Modeling attention in neural multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its usefulness in tasks that incorporate multiple source languages or modalities. We propose two novel approaches to combine the outputs of attention mechanisms over each source sequence, flat and hierarchical. We compare the proposed methods with existing techniques and present results of systematic evaluation of those methods on the WMT16 Multimodal Translation and Automatic Post-editing tasks. We show that the proposed methods achieve competitive results on both tasks.

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