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        <title>Attention Strategies for Multi-Source Sequence-to-Sequence Learning</title>
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        <namePart type="given">Jindřich</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Attention Strategies for Multi-Source Sequence-to-Sequence Learning
%A Libovický, Jindřich
%A Helcl, Jindřich
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F libovicky-helcl-2017-attention
%X 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.
%R 10.18653/v1/P17-2031
%U https://aclanthology.org/P17-2031
%U https://doi.org/10.18653/v1/P17-2031
%P 196-202

Markdown (Informal)

[Attention Strategies for Multi-Source Sequence-to-Sequence Learning](https://aclanthology.org/P17-2031) (Libovický & Helcl, ACL 2017)

• Attention Strategies for Multi-Source Sequence-to-Sequence Learning (Libovický & Helcl, ACL 2017)

ACL

• Jindřich Libovický and Jindřich Helcl. 2017. Attention Strategies for Multi-Source Sequence-to-Sequence Learning. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 196–202, Vancouver, Canada. Association for Computational Linguistics.