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
A Comparative Study of Sequence Tagging Methods for Domain ..:
, In:
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
,
Wu, Jian
;
Ul Hoque, Md Reshad
;
Reiske, Gunnar W.
... - p. 397-400 , 2020
Link:
https://dl.acm.org/doi/10.1145/3383583.3398602
RT T1
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
: T1
A Comparative Study of Sequence Tagging Methods for Domain Knowledge Entity Recognition in Biomedical Papers
UL https://suche.suub.uni-bremen.de/peid=acm-3398602&Exemplar=1&LAN=DE A1 Wu, Jian A1 Ul Hoque, Md Reshad A1 Reiske, Gunnar W. A1 Weigle, Michele C. A1 Bradshaw, Brenda T. A1 Gaff, Holly D. A1 Li, Jiang A1 Kwan, Chiman PB ACM YR 2020 K1 deep learning K1 entity recognition K1 machine learning K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Information extraction SP 397 OP 400 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3383583.3398602 DO https://dl.acm.org/doi/10.1145/3383583.3398602 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)