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
Question-answering by predictive annotation:
, In:
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
,
Prager, John
;
Brown, Eric
;
Coden, Anni
. - p. 184-191 , 2000
Link:
https://dl.acm.org/doi/10.1145/345508.345574
RT T1
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
: T1
Question-answering by predictive annotation
UL https://suche.suub.uni-bremen.de/peid=acm-345574&Exemplar=1&LAN=DE A1 Prager, John A1 Brown, Eric A1 Coden, Anni A1 Radev, Dragomir PB ACM YR 2000 K1 Information systems K1 Information retrieval K1 Search engine architectures and scalability K1 Search engine indexing K1 Document representation K1 Applied computing K1 Document management and text processing K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis K1 Document capture K1 Document analysis SP 184 OP 191 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/345508.345574 DO https://dl.acm.org/doi/10.1145/345508.345574 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)