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
Answer Type Prediction: Unveiling the Power of Deep Learnin..:
, In:
2023 2nd International Conference on Futuristic Technologies (INCOFT)
,
Swathi, B.P.
;
Geetha, M.
;
Shenoy, Manjula
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/INCOFT60753.2023.10425450
RT T1 <cTitle>2023 2nd International Conference on Futuristic Technologies (INCOFT)</cTitle>: T1 <Title>Answer Type Prediction: Unveiling the Power of Deep Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425450&Exemplar=1&LAN=DE A1 Swathi, B.P. A1 Geetha, M. A1 Shenoy, Manjula A1 Suhas, M.V. YR 2023 K1 Deep learning K1 Training K1 Analytical models K1 Natural languages K1 Predictive models K1 Question answering (information retrieval) K1 Numerical models K1 Question Answering Systems K1 Natural Language Processing K1 Natural Language Query K1 Answer type prediction K1 GRU K1 Bi-GRU K1 LSTM K1 Bi-LSTM K1 SPARQL SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INCOFT60753.2023.10425450 DO https://doi.org/10.1109/INCOFT60753.2023.10425450 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
