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
Leveraging rule-based model and machine learning transforme..:
, In:
Proceedings of the 2023 7th International Conference on Software and e-Business
,
Chu, Carlin Chun-Fai
;
So, Raymond
;
Kwong, Ernest Kan-Lam
. - p. 71-78 , 2023
Link:
https://dl.acm.org/doi/10.1145/3641067.3641075
RT T1
Proceedings of the 2023 7th International Conference on Software and e-Business
: T1
Leveraging rule-based model and machine learning transformer for mining aspect-based financial opinions in colloquial language
UL https://suche.suub.uni-bremen.de/peid=acm-3641075&Exemplar=1&LAN=DE A1 Chu, Carlin Chun-Fai A1 So, Raymond A1 Kwong, Ernest Kan-Lam A1 Chan, Andy PB ACM YR 2023 K1 Aspect-based opinion mining K1 BERT K1 Natural language inference K1 Transformer K1 pretrained language model SP 71 OP 78 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3641067.3641075 DO https://dl.acm.org/doi/10.1145/3641067.3641075 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)