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
Towards Enhanced Identification of Emotion from Resource-Co..:
Ali, Nadia
;
Tubaishat, Abdallah
;
Al-Obeidat, Feras
...
ACM Transactions on Asian and Low-Resource Language Information Processing. , 2023
Link:
https://doi.org/10.1145/3592794
RT Journal T1 <Title>Towards Enhanced Identification of Emotion from Resource-Constrained Language through a novel Multilingual BERT Approach</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3592794&Exemplar=1&LAN=DE A1 Ali, Nadia A1 Tubaishat, Abdallah A1 Al-Obeidat, Feras A1 Shabaz, Mohammad A1 Waqas, Muhammad A1 Halim, Zahid A1 Rida, Imad A1 Anwar, Sajid PB Association for Computing Machinery (ACM) YR 2023 SN 2375-4699 SN 2375-4702 JF ACM Transactions on Asian and Low-Resource Language Information Processing LK http://dx.doi.org/https://doi.org/10.1145/3592794 DO https://doi.org/10.1145/3592794 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
