LINGUIST List 16.1205|
Fri Apr 15 2005
Calls: General Ling/USA; Corpus Ling/Singapore
Editor for this issue: Amy Wronkowicz
As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text. To post to LINGUIST, use our convenient web form at http://linguistlist.org/LL/posttolinguist.html.
13th Annual University of Texas at Arlington Student Conference in Linguistics
8th International Conference on Discovery Science
Message 1: 13th Annual University of Texas at Arlington Student Conference in Linguistics
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
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
Web Site: http://ling.uta.edu/~lingua/utascil/index.html
Linguistic Field(s): General Linguistics
Call Deadline: 02-Sep-2005
The UTASCIL is a student-led conference specifically designed to give graduate
students a chance to present their original research. This is a great
opportunity to join students from across America and around the world to present
research on language.
Papers for this conference are invited in all areas of linguistics, especially
in the area of TESOL and the area of endangered languages. Students from any
educational institution are encouraged to submit their research and share
insights they have discovered in the field. Oral presentations will last 15
minutes with 5 minutes for discussion and questions. This is a great opportunity
to develop professional skills! The three best-presented papers will be awarded
the Yumi Nakamura Memorial Prize in Linguistics (up to $400.00 USD).
The deadline for submission of abstracts is Friday, September 2, 2005.
Notifications of acceptance will be distributed in mid-late September, 2005.
Abstracts should be written on a single page (500 words or less) in Times New
Roman, font 12, with one additional page for graphs and/or references.
Electronic submissions are preferred; however, if submitting by mail, please
provide 5 copies of your anonymous abstract with the title of the paper at the
top and a 3'' x 5'' index card including the following information:
1. Your name
3. Address, phone number, and e-mail address
4. Title of paper
Papers should be sent to the attention of: UTASCIL, Program in Linguistics, Box
19559, University of Texas at Arlington, TX 76019-0559 in time to reach UTA by
the deadline. Electronic submission should be in MS Word or PDF format. Please
do not send .html formats. E-mail abstracts should be sent to: utascilling.uta.edu
For more information, visit:
Message 2: 8th International Conference on Discovery Science
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
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.
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