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
Adaptable Closed-Domain Question Answering Using Contextual..:
Mahsa Abazari Kia
;
Aygul Garifullina
;
Mathias Kern
..
https://ieeexplore.ieee.org/document/9762943/. , 2022
Link:
https://doi.org/10.1109/ACCESS.2022.3170466
RT Journal T1
Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:63616e4c2894435bbfd62f26b170ac7d&Exemplar=1&LAN=DE A1 Mahsa Abazari Kia A1 Aygul Garifullina A1 Mathias Kern A1 Jon Chamberlain A1 Shoaib Jameel PB IEEE YR 2022 K1 Closed-domain question answering K1 convolutional neural network K1 question expansion K1 self-attention K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9762943/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2022.3170466 DO https://doi.org/10.1109/ACCESS.2022.3170466 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)