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
RoBERT-Agr: An Entity Relationship Extraction Model of Mass..:
, In:
2023 IEEE 8th International Conference on Big Data Analytics (ICBDA)
,
Chen, Tianyue
;
Qian, Yongqiang
;
Wang, Yaojun
... - p. 113-120 , 2023
Link:
https://doi.org/10.1109/ICBDA57405.2023.10105090
RT T1 <cTitle>2023 IEEE 8th International Conference on Big Data Analytics (ICBDA)</cTitle>: T1 <Title>RoBERT-Agr: An Entity Relationship Extraction Model of Massive Agricultural Text Based on the RoBERTa and CRF Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10105090&Exemplar=1&LAN=DE A1 Chen, Tianyue A1 Qian, Yongqiang A1 Wang, Yaojun A1 Chen, Xiaojin A1 Ouyang, Di A1 Dong, Shihao A1 Li, Xiang A1 Zhao, Jingbo A1 Huang, Lan YR 2023 K1 Training K1 Analytical models K1 Text recognition K1 Semantics K1 Feature extraction K1 Data models K1 Classification algorithms K1 Entity Relation Extraction K1 Massive Agricultural Text K1 Natural Language Processing K1 BERT Model K1 Conditional Random Fields SP 113 OP 120 LK http://dx.doi.org/https://doi.org/10.1109/ICBDA57405.2023.10105090 DO https://doi.org/10.1109/ICBDA57405.2023.10105090 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
