利用Attentive來改善端對端中文語篇剖析遞迴類神經網路系統(Using Attentive to improve Recursive LSTM End-to-End Chinese Discourse Parsing)

Yu-Jen Wang, Chia-Hui Chang


Anthology ID:
2019.rocling-1.36
Volume:
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)
Month:
October
Year:
2019
Address:
New Taipei City, Taiwan
Editors:
Chen-Yu Chiag, Min-Yuh Day, Jen-Tzung Chien
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
388–397
Language:
Chinese
URL:
https://aclanthology.org/2019.rocling-1.36
DOI:
Bibkey:
Cite (ACL):
Yu-Jen Wang and Chia-Hui Chang. 2019. 利用Attentive來改善端對端中文語篇剖析遞迴類神經網路系統(Using Attentive to improve Recursive LSTM End-to-End Chinese Discourse Parsing). In Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019), pages 388–397, New Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
利用Attentive來改善端對端中文語篇剖析遞迴類神經網路系統(Using Attentive to improve Recursive LSTM End-to-End Chinese Discourse Parsing) (Wang & Chang, ROCLING 2019)
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https://aclanthology.org/2019.rocling-1.36.pdf