文献
J-GLOBAL ID:202202220131034596
整理番号:22A0901054
CG-ANER:強化された文脈埋込みとグリフ特徴に基づく農業名前認識【JST・京大機械翻訳】
CG-ANER: Enhanced contextual embeddings and glyph features-based agricultural named entity recognition
著者 (7件):
Guo Xuchao
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
,
Lu Shuhan
(School of Information, University of Michigan, Ann Arbor 48104, USA)
,
Tang Zhan
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
,
Bai Zhao
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
,
Diao Lei
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
,
Zhou Han
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
,
Li Lin
(College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
資料名:
Computers and Electronics in Agriculture
(Computers and Electronics in Agriculture)
巻:
194
ページ:
Null
発行年:
2022年
JST資料番号:
T0337A
ISSN:
0168-1699
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)