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
Semi Supervised Approach for Relation Extraction in Agricul..:
, In:
2022 OITS International Conference on Information Technology (OCIT)
,
G, Veena
;
Gupta, Deepa
;
Kanjirangat, Vani
- p. 199-204 , 2022
Link:
https://doi.org/10.1109/OCIT56763.2022.00046
RT T1
2022 OITS International Conference on Information Technology (OCIT)
: T1
Semi Supervised Approach for Relation Extraction in Agriculture Documents
UL https://suche.suub.uni-bremen.de/peid=ieee-10053800&Exemplar=1&LAN=DE A1 G, Veena A1 Gupta, Deepa A1 Kanjirangat, Vani YR 2022 K1 Soil measurements K1 Knowledge based systems K1 Bit error rate K1 Focusing K1 Soil K1 Agriculture K1 Task analysis K1 Relation Extraction K1 Semi-supervised K1 Bootstrapping K1 Dependency Parsing K1 BERT SP 199 OP 204 LK http://dx.doi.org/https://doi.org/10.1109/OCIT56763.2022.00046 DO https://doi.org/10.1109/OCIT56763.2022.00046 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)