Discovering the Latent Writing Style from Articles: A Contextualized Feature Extraction Approach

Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Ya-Wen Yu, Wan-Hsuan Lee, Fernando Henrique Calderon Alvarado, Yi-Shin Chen


Anthology ID:
2019.ijclclp-1.2
Volume:
International Journal of Computational Linguistics & Chinese Language Processing, Volume 24, Number 1, June 2019
Month:
June
Year:
2019
Address:
Taipei, Taiwan
Editors:
Jen-Tzung Chien, Chia-Hui Chang
Venue:
IJCLCLP
SIG:
Publisher:
Association for Computational Linguistics and Chinese Language Processing
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Pages:
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URL:
https://aclanthology.org/2019.ijclclp-1.2
DOI:
Bibkey:
Cite (ACL):
Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Ya-Wen Yu, Wan-Hsuan Lee, Fernando Henrique Calderon Alvarado, and Yi-Shin Chen. 2019. Discovering the Latent Writing Style from Articles: A Contextualized Feature Extraction Approach. International Journal of Computational Linguistics and Chinese Language Processing, 24(1).
Cite (Informal):
Discovering the Latent Writing Style from Articles: A Contextualized Feature Extraction Approach (Huang et al., IJCLCLP 2019)
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PDF:
https://preview.aclanthology.org/add_acl24_videos/2019.ijclclp-1.2.pdf
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