[Elsnet-list] New submission deadline for the Workshop "Web-Scale Classification: Classifying Big Data from the Web" at WSDM 2014

Patrick Gallinari patrick.gallinari at lip6.fr
Tue Dec 24 15:57:17 CET 2013


Our apologies if you receive multiple copies.



===>>> Please consider the new submission deadline (January 6th 2014)  
<<<===


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             Web-Scale Classification: Classifying Big Data from the Web

                                     WSDM 2014 Workshop

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URL: http://lshtc.iit.demokritos.gr/WSDM_WS

Workshop at WSDM 2014, Crowne Plaza Times Square, New York City, 
February 28, 2014

Scope
=======

The huge amount of data available in the Web in various forms (text, 
images, videos etc.) raises challenging and difficult problems 
concerning the extraction and assessment of useful information. 
Intelligent systems for knowledge extraction are nowadays of utmost 
importance due to the scale of the data in the Web. A key module for any 
intelligent system is the capability of identifying and classifying 
correctly data items in a pre-defined set of classes. In order to ease 
the classification and organization of the data many real world systems 
make use of taxonomies over the set of categories which are typically 
organized in a hierarchical structure with parent-child relations. 
Typical examples of such taxonomies are DMOZ, http://www.dmoz.org/, the 
International Patent Classification, 
http://www.wipo.int/classifications/ipc/en/ or Wikipedia.

In this context, new challenges arise on classification and clustering 
problems, for web scale applications dealing with millions of 
categories: data sparsity and class imbalance at different levels of the 
hierarchy remain open issues for this setting; the class statistical 
dependencies raise opportunities for new learning approaches; 
controlling the classifier complexity or the inference budget becomes 
critical.

The goal of this workshop is to discuss and assess recent research 
focusing on classification and mining for Web-scale category systems. In 
particular, we want to attract researchers developing new ways to 
exploit such Web-scale systems, e.g. by exploring how different category 
systems can be combined (through multi-task or transfer learning for 
example) to improve classification accuracy or by exploring how 
hierarchies can be refined or simplified for classification and mining 
purposes. We also want to attract research work that reveals new 
properties of large scale category systems, e.g. the type of data 
distributions in large scale systems. The following topics are of 
interest to the workshop (this list is not exhaustive):

  *  Semi-supervised learning for WSC
  *  Transfer learning for WSC
  *  Multi-task learning for WSC
  *  Deep learning approaches to WSC
  *  Clustering and hierarchy refinement
  *  Mining large scale hierarchical category systems
  *  Large scale classification for e-commerce
  *  Budget learning for large scale classification and clustering
  *  Parallel implementations of large scale classification and 
clustering systems


Submmisions
================

Submissions must be written in English, following the ACM guidelines 
(http://www.acm.org/sigs/publications/proceedings-templates). We 
encourage both long papers (6 pages max) as well as short papers (4 
pages max) including references and figures. The Easychair electronic 
submission system will be used for the papers 
(https://www.easychair.org/conferences/?conf=wscbd2014). Please, refer 
to the workshop page for details about the submission format and process.


Important dates
================

  * Paper submission - January 6
  * Notification - January 15
  * Camera ready paper - January 20
  * Workshop - February 28

Organizers
================

Massih-Reza Amini, LIG, Grenoble, France
Ion Androutsopoulos, AUEB, Athens, Greece
Thierry Artières, LIP6, Paris, France
Patrick Gallinari, LIP6, Paris, France
Eric Gaussier, LIG, Grenoble, France
George Paliouras, NCSR "Demokritos", Athens, Greece
Ioannis Partalas, LIG, Grenoble, France

-- 
_____________________________________________

Prof. Patrick Gallinari
UPMC - LIP6
Boite 169
4 place Jussieu, 75252 Paris Cedex 05, France
Tel: 33144277370, fax: 33144277000
http://www-connex.lip6.fr/~gallinar/



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