---------- Forwarded message ----------
From: Grigorios Tsoumakas <tsou...@gmail.com>
Date: Thu, Apr 12, 2012 at 4:43 AM
Subject: [BioNLP] ECML PKDD 2012 Discovery Challenge: 3rd Challenge on
Large Scale Hierarchical Text Classification
To: bio...@lists.ccs.neu.edu
[ please distribute - apologies for multiple postings ]
ECML PKDD 2012 Discovery Challenge: Third Challenge on Large Scale
Hierarchical Text Classification
Web site: http://lshtc.iit.demokritos.gr/
Email: lshtc...@iit.demokritos.gr
This year's discovery challenge hosts the third edition of the
successful PASCAL challenges on large scale hierarchical text
classification. The challenge comprises three tracks and it is based
on two large datasets created from the ODP web directory (DMOZ) and
Wikipedia. The datasets are multi-class, multi-label and hierarchical.
The number of categories ranges between 13,000 and 325,000 roughly and
the number of documents between 380,000 and 2,400,000.
The tracks of the challenge are organized as follows:
1. Standard large-scale hierarchical classification
a) On collection of medium size from Wikipedia
b) On a large collection from Wikipedia
2. Multi-task learning, based on both DMOZ and Wikipedia category systems
3. Refinement-learning
a) Semi-Supervised approach
b) Unsupervised approach
In order to register for the challenge and gain access to the datasets you
must have an account at the challenge Web site.
Important dates:
- March 30, start of the challenge
- April 20, opening of the evaluation
- June 29, closing of evaluation
- July 20, paper submission deadline
- August 3, paper notifications
Organizers
- Ion Androutsopoulos, AUEB, Athens, Greece
- Thierry Artieres, LIP6, Paris, France
- Patrick Gallinari, LIP6, Paris, France
- Eric Gaussier, LIG, Grenoble, France
- Aris Kosmopoulos, NCSR "Demokritos" & AUEB, Athens, Greece
- George Paliouras, NCSR "Demokritos", Athens, Greece
- Ioannis Partalas, LIG, Grenoble, France
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William W. Cohen
wco...@cs.cmu.edu
http://www.wcohen.com
Research Professor
Machine Learning Department, CMU