Text augmentation for neural networks

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Text augmentation for neural networks. / Mosolova, Anna V.; Fomin, Vadim V.; Bondarenko, Ivan Yu.

In: CEUR Workshop Proceedings, Vol. 2268, 2018, p. 104-109.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Mosolova, AV, Fomin, VV & Bondarenko, IY 2018, 'Text augmentation for neural networks', CEUR Workshop Proceedings, vol. 2268, pp. 104-109.

APA

Mosolova, A. V., Fomin, V. V., & Bondarenko, I. Y. (2018). Text augmentation for neural networks. CEUR Workshop Proceedings, 2268, 104-109.

Vancouver

Mosolova AV, Fomin VV, Bondarenko IY. Text augmentation for neural networks. CEUR Workshop Proceedings. 2018;2268:104-109.

Author

Mosolova, Anna V. ; Fomin, Vadim V. ; Bondarenko, Ivan Yu. / Text augmentation for neural networks. In: CEUR Workshop Proceedings. 2018 ; Vol. 2268. pp. 104-109.

BibTeX

@article{b458e5da52294389869eb8192de9d965,

title = "Text augmentation for neural networks",

abstract = "This study considers the problem of using small text datasets for learning of neural networks. We explore the method used for image and sound datasets that augments data in order to increase the performance of models trained on it. We propose a method for augmenting that is based on synonymy.",

keywords = "Neural networks, NLP, Small datasets, Synonymy",

author = "Mosolova, {Anna V.} and Fomin, {Vadim V.} and Bondarenko, {Ivan Yu}",

note = "Publisher Copyright: {\textcopyright} 2017 CEUR-WS. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 7th International Conference on Analysis of Images, Social Networks and Texts - Supplementary, AIST-SUP 2018 ; Conference date: 05-07-2018 Through 07-07-2018",

year = "2018",

language = "English",

volume = "2268",

pages = "104--109",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - Text augmentation for neural networks

AU - Mosolova, Anna V.

AU - Fomin, Vadim V.

AU - Bondarenko, Ivan Yu

PY - 2018

Y1 - 2018

N2 - This study considers the problem of using small text datasets for learning of neural networks. We explore the method used for image and sound datasets that augments data in order to increase the performance of models trained on it. We propose a method for augmenting that is based on synonymy.

AB - This study considers the problem of using small text datasets for learning of neural networks. We explore the method used for image and sound datasets that augments data in order to increase the performance of models trained on it. We propose a method for augmenting that is based on synonymy.

KW - Neural networks

KW - NLP

KW - Small datasets

KW - Synonymy

UR - http://www.scopus.com/inward/record.url?scp=85058949446&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85058949446

VL - 2268

SP - 104

EP - 109

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 7th International Conference on Analysis of Images, Social Networks and Texts - Supplementary, AIST-SUP 2018

Y2 - 5 July 2018 through 7 July 2018

ER -

ID: 27547094