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
Context Attentive Document Ranking and Query Suggestion:
, In:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Ahmad, Wasi Uddin
;
Chang, Kai-Wei
;
Wang, Hongning
- p. 385-394 , 2019
Link:
https://dl.acm.org/doi/10.1145/3331184.3331246
RT T1 <cTitle>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Context Attentive Document Ranking and Query Suggestion</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3331246&Exemplar=1&LAN=DE A1 Ahmad, Wasi Uddin A1 Chang, Kai-Wei A1 Wang, Hongning PB ACM YR 2019 K1 document ranking K1 neural ir models K1 query suggestion K1 search tasks K1 Information systems K1 Information retrieval K1 Information retrieval query processing K1 Query suggestion K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Ranking K1 Multi-task learning K1 Machine learning approaches K1 Neural networks SP 385 OP 394 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3331184.3331246 DO https://dl.acm.org/doi/10.1145/3331184.3331246 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
