基於階層式編碼架構之文本可讀性預測(A Hierarchical Encoding Framework for Text Readability Prediction)

Shi-Yan Weng, Hou-Chiang Tseng, Yao-Ting Sung, Berlin Chen


Anthology ID:
2019.rocling-1.31
Volume:
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)
Month:
October
Year:
2019
Address:
New Taipei City, Taiwan
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
334–342
Language:
Chinese
URL:
https://aclanthology.org/2019.rocling-1.31
DOI:
Bibkey:
Cite (ACL):
Shi-Yan Weng, Hou-Chiang Tseng, Yao-Ting Sung, and Berlin Chen. 2019. 基於階層式編碼架構之文本可讀性預測(A Hierarchical Encoding Framework for Text Readability Prediction). In Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019), pages 334–342, New Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
基於階層式編碼架構之文本可讀性預測(A Hierarchical Encoding Framework for Text Readability Prediction) (Weng et al., ROCLING 2019)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2019.rocling-1.31.pdf