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
TextGNN: Improving Text Encoder via Graph Neural Network in..:
, In:
Proceedings of the Web Conference 2021
,
Zhu, Jason
;
Cui, Yanling
;
Liu, Yuming
... - p. 2848-2857 , 2021
Link:
https://dl.acm.org/doi/10.1145/3442381.3449842
RT T1
Proceedings of the Web Conference 2021
: T1
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
UL https://suche.suub.uni-bremen.de/peid=acm-3449842&Exemplar=1&LAN=DE A1 Zhu, Jason A1 Cui, Yanling A1 Liu, Yuming A1 Sun, Hao A1 Li, Xue A1 Pelger, Markus A1 Yang, Tianqi A1 Zhang, Liangjie A1 Zhang, Ruofei A1 Zhao, Huasha PB ACM YR 2021 K1 Ad Relevance K1 BERT K1 C-DSSM K1 Graph Neural Network K1 Knowledge Distillation K1 Sponsored Search K1 Text Encoder K1 Transformers SP 2848 OP 2857 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3442381.3449842 DO https://dl.acm.org/doi/10.1145/3442381.3449842 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)