文献
J-GLOBAL ID:202002268540054726
整理番号:20A2282881
適応シーケンスラベリングのためのラベル関係出力構造の学習【JST・京大機械翻訳】
Learning Label-Relational Output Structure for Adaptive Sequence Labeling
著者 (6件):
He Keqing
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
,
Yan Yuanmeng
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
,
Xu Hong
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
,
Liu Sihong
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
,
Liu Zijun
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
,
Xu Weiran
(Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
IJCNN
ページ:
1-8
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)