[BioNLP] ECML PKDD 2012 Discovery Challenge on Large Scale Hierarchical Text Classification

Grigorios Tsoumakas tsoumakas at gmail.com
Mon May 28 11:35:22 EDT 2012


ECML PKDD 2012 Discovery Challenge: Third Challenge on Large Scale
Hierarchical Text Classification

                  Web site: http://lshtc.iit.demokritos.gr/
                    Email: lshtc_info at 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.

*** Please note that participants can now upload intermediary results on
the web site and track the progress of their work!

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
-------------- next part --------------
HTML attachment scrubbed and removed


More information about the BioNLP mailing list