text classification

Every day, approximately 3000 new bio-medical articles are published on the Web. This averages to more than 2 articles every minute. In addition to the sheer amount of bio-medical information available on the Web, the variety of this information increases everyday and ranges from structured data in the form of ontologies to unstructured data in the form of documents.

BioASQ challenge on large-scale biomedical semantic indexing and question answering
(part of the CLEF 2014 QA track to take place in Sheffield, UK, 15-18 September, 2014)

Web site: http://bioasq.org/
twitter: https://twitter.com/bioasq
CLEF-QA site: http://nlp.uned.es/clef-qa/

The BioASQ challenge consists of two different tasks (Task 2a and Task 2b).

If you are interested in any of the following areas:

* Large-scale and hierarchical classification
* Machine learning
* Semantic Indexing, semantic similarity

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Call for Participation
Fourth Challenge on
Large Scale Hierarchical Text classification
(LSHTC4)

Web site: http://lshtc.iit.demokritos.gr/LSHTC4_CALL
Email: lshtc_info [at] iit.demokritos.gr
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BioASQ Workshop
Website: http://www.bioasq.org/news/bioasq-workshop
Project URL: http://www.bioasq.org/
Post-conference workshop after CLEF 2013, September 27, Valencia, Spain
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*Scope*

Every day, we generate 2.5 quintillion bytes of data. In domains such as
bio-medicine, approximately 3000 new articles are published on the Web
every day. This averages to more than 2 articles every minute. In

LSHC3: ECML/PKDD - PASCAL Discovery Challenge Workshop
on Large-Scale Hierarchical Classification

September 28, 2012, Bristol, UK

http://lshtc.iit.demokritos.gr/LSHC3_workshop

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SCOPE

Hierarchies are becoming ever more popular for the
organization of documents, particularly on the Web
(e.g. Web directories). Along with their widespread
use comes the need for automated classification of
new documents to the categories in the hierarchy.
Research on large-scale classification so far has

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