Authors
Minh-Thang Luong, Quoc V Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser
Publication date
2015/11/19
Journal
arXiv preprint arXiv:1511.06114
Description
Abstract: Sequence to sequence learning has recently emerged as a new paradigm in
supervised learning. To date, most of its applications focused on only one task and not much
work explored this framework for multiple tasks. This paper examines three settings to multi-
task sequence to sequence learning:(a) the one-to-many setting-where the encoder is
shared between several tasks such as machine translation and syntactic parsing,(b) the
many-to-one setting-useful when only the decoder can be shared, as in the case of ...
supervised learning. To date, most of its applications focused on only one task and not much
work explored this framework for multiple tasks. This paper examines three settings to multi-
task sequence to sequence learning:(a) the one-to-many setting-where the encoder is
shared between several tasks such as machine translation and syntactic parsing,(b) the
many-to-one setting-useful when only the decoder can be shared, as in the case of ...
Total citations
Scholar articles
MT Luong, QV Le, I Sutskever, O Vinyals, L Kaiser - arXiv preprint arXiv:1511.06114, 2015
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