SIGN IN
SIGN UP
Learning to summarise XML documents using content and structure
Full Text:
PDF
Buy this Article
Authors:
Massih R. Amini
University Pierre and Marie Curie, Paris, France
Anastasios Tombros
Queen Mary, University of London, London, United Kingdom
Nicolas Usunier
University Pierre and Marie Curie, Paris, France
Mounia Lalmas
Queen Mary, University of London, London, United Kingdom
Patrick Gallinari
University Pierre and Marie Curie, Paris, France
2005 Article
Bibliometrics
· Downloads (6 Weeks): 2
· Downloads (12 Months): 13
· Downloads (cumulative): 241
· Citation Count: 3
Published in:
· Proceeding
CIKM '05
Proceedings of the 14th ACM international conference on Information and knowledge management
Pages 297-298
ACM
New York, NY
, USA
©2005
table of contents
ISBN:1-59593-140-6
doi>
10.1145/1099554.1099635
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
CIKM'13
Share:
|
Tags:
algorithms
content and structure features
experimentation
machine learning
miscellaneous
parameter learning
performance
ranking algorithms
summarisation
xml documents
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder