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  Data Augmentation for Multiclass Utterance Classification - A Systematic Study

Xu, B., Qiu, S., Zhang, J., Wang, Y., Shen, X., & de Melo, G. (2020). Data Augmentation for Multiclass Utterance Classification - A Systematic Study. In D. Scott, N. Bel, & C. Zong (Eds.), The 28th International Conference on Computational Linguistics (pp. 5494-5506). Stroudsburg, PA: ACL. doi:10.18653/v1/2020.coling-main.479.

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Genre: Conference Paper
Latex : Data Augmentation for Multiclass Utterance Classification -- A Systematic Study

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 Creators:
Xu, Binxia1, Author
Qiu, Siyuan1, Author
Zhang, Jie1, Author
Wang, Yafang1, Author           
Shen, Xiaoyu2, Author           
de Melo, Gerard1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: The 28th International Conferenceon Computational Linguistics
Place of Event: Barcelona, Spain (Online)
Start-/End Date: 2020-12-08 - 2020-12-13

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Title: The 28th International Conference on Computational Linguistics
  Abbreviation : COLING 2020
  Subtitle : Proceedings of the Conference
Source Genre: Proceedings
 Creator(s):
Scott, Donia1, Editor
Bel, Nuria1, Editor
Zong, Chengqing1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Stroudsburg, PA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 5494 - 5506 Identifier: ISBN: 978-1-952148-27-9