文献
J-GLOBAL ID:202102275691371142
整理番号:21A1810788
自然言語理解のための対応を用いた構文ベクトル学習【JST・京大機械翻訳】
Syntax Vector Learning Using Correspondence for Natural Language Understanding
著者 (5件):
Seo Hyein
(Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea)
,
Jung Sangkeun
(Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea)
,
Hwang Taewook
(Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea)
,
Kim Hyunji
(Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea)
,
Roh Yoon-Hyung
(Electronics and Telecommunications Research Institute, Daejeon, South Korea)
資料名:
IEEE Access
(IEEE Access)
巻:
9
ページ:
84067-84078
発行年:
2021年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)