Corrigendum to “Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning” [Information Sciences 490 (2019) 59-73](S0020025519302786)(10.1016/j.ins.2019.03.066)

Myeongjun Jang, Seungwan Seo, Pilsung Kang

Research output: Contribution to journalComment/debate

Abstract

The authors regret making a mistake in the Acknowledgment section. The following funding source should have been mentioned. This work was also supported by the Agency for Defense Development of Korea. The authors would like to apologise for any inconvenience caused.

Original languageEnglish
Number of pages1
JournalInformation Sciences
Volume512
DOIs
Publication statusPublished - 2020 Feb
Externally publishedYes

Fingerprint

Information science
Regret
Recurrent neural networks
Recurrent Neural Networks
Semantics
Learning
Funding
Korea

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

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title = "Corrigendum to “Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning” [Information Sciences 490 (2019) 59-73](S0020025519302786)(10.1016/j.ins.2019.03.066)",
abstract = "The authors regret making a mistake in the Acknowledgment section. The following funding source should have been mentioned. This work was also supported by the Agency for Defense Development of Korea. The authors would like to apologise for any inconvenience caused.",
author = "Myeongjun Jang and Seungwan Seo and Pilsung Kang",
year = "2020",
month = "2",
doi = "10.1016/j.ins.2019.11.049",
language = "English",
volume = "512",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier Inc.",

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AU - Seo, Seungwan

AU - Kang, Pilsung

PY - 2020/2

Y1 - 2020/2

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AB - The authors regret making a mistake in the Acknowledgment section. The following funding source should have been mentioned. This work was also supported by the Agency for Defense Development of Korea. The authors would like to apologise for any inconvenience caused.

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JF - Information Sciences

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