I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
AMR-to-Text Generation with Graph Structure Reconstruction ..:
, In:
2022 International Joint Conference on Neural Networks (IJCNN)
,
Li, Junxin
;
Wang, Wei
;
Zheng, Hai-Tao
... - p. 1-8 , 2022
Link:
https://doi.org/10.1109/IJCNN55064.2022.9892960
RT T1
2022 International Joint Conference on Neural Networks (IJCNN)
: T1
AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism
UL https://suche.suub.uni-bremen.de/peid=ieee-9892960&Exemplar=1&LAN=DE A1 Li, Junxin A1 Wang, Wei A1 Zheng, Hai-Tao A1 Gao, Jun A1 Xie, Rui A1 Wu, Wei YR 2022 SN 2161-4407 K1 Semantics K1 Neural networks K1 Benchmark testing K1 Task analysis K1 AMR K1 AMR-to-text K1 Nature language generation K1 BART SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN55064.2022.9892960 DO https://doi.org/10.1109/IJCNN55064.2022.9892960 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)