LINGUIST List 16.1205

Fri Apr 15 2005

Calls: General Ling/USA; Corpus Ling/Singapore

Editor for this issue: Megan Zdrojkowski <meganlinguistlist.org>


Directory

        1.    Alicia Navarette, 13th Annual University of Texas at Arlington Student Conference in Linguistics
        2.    Thomas Zeugmann, 8th International Conference on Discovery Science


Message 1: 13th Annual University of Texas at Arlington Student Conference in Linguistics
Date: 11-Apr-2005
From: Alicia Navarette <utascilling.uta.edu>
Subject: 13th Annual University of Texas at Arlington Student Conference in Linguistics


Full Title: 13th Annual University of Texas at Arlington Student Conference in
Linguistics
Short Title: UTASCIL

Date: 27-Oct-2005 - 28-Oct-2005
Location: Arlington, TX, United States of America
Contact Person: Natalie Sears
Meeting Email: utascilling.uta.edu

For more information, visit:
http://ling.uta.edu/~lingua
Message 2: 8th International Conference on Discovery Science
Date: 13-Apr-2005
From: Thomas Zeugmann <thomasist.hokudai.ac.jp>
Subject: 8th International Conference on Discovery Science



Full Title: 8th International Conference on Discovery Science
Short Title: DS 2005

Date: 08-Oct-2005 - 11-Oct-2005
Location: Singapore, Singapore
Contact Person: Hiroshi Motoda
Meeting Email: motodaar.sanken.osaka-u.ac.jp
Web Site: http://www.cse.unsw.edu.au/~achim/DS05/

Linguistic Field(s): Cognitive Science; Genetic Classification; Language
Acquisition; Linguistic Theories; Text/Corpus Linguistics

Call Deadline: 20-May-2005

Meeting Description:

DS 2005 provides an open forum for intensive discussions and interchange of new
information among researchers working in the area of Discovery Science. The
scope of the conference includes the analysis and development of methods for
intelligent data analysis, knowledge discovery and machine learning, as well as
their application to scientific knowledge discovery.

Possible topics include, but are not limited to:

* Logic and philosophy of scientific discovery,
* Knowledge discovery, machine learning and statistical methods,
* Active knowledge discovery,
* Text mining, named entity recognition, etc.
* Information extraction from scientific literature,
* Knowledge discovery from text and the web,
* Knowledge discovery from unstructured and multimedia data,
* Knowledge disvovery in network and link data,
* Knowledge discovery in social networks,
* Data and knowledge visualization,
* Human-machine interaction for knowledge discovery and management,
* Biomedical knowledge discovery, analysis of microarray and gene deletion data,
* Applications of the above techniques to natural or social sciences.