CALL FOR PAPERS 

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ANNOTATION SCIENCE: 
STATE OF THE ART IN ENHANCING AUTOMATIC LINGUISTIC ANNOTATION 
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To be held in conjunction with 
The 5th Conference on Language Resources and Evaluation 
Magazzini del Cotone Conference Centre 
Genoa, Italy 
May 27, 2006 

http://www.cs.vassar.edu/~ide/events/ANNOTATION-LREC2006/ 

The high cost of manual annotation and validation of automatically
produced 
annotations for language data has led to the recent development of
methods to enhance 
the quality of automatically-produced annotations via mechanisms such
as machine 
learning.  To date, there has been no international forum fully
dedicated to the topic, 
where researchers working in different areas and different phenomena
are brought together 
to discuss methods and results. 

This workshop will include papers describing current work on
enhancing the results of 
automated annotation for linguistic phenomena and provide both an
overview and assessment 
of the state-of-the-art. The workshop will include an introductory
overview  as well as 
a panel discussion following the paper presentations. 

Papers are solicited on any of the following topics: 

o Machine learning and other methods to enhance automatic annotation
of 
  linguistic phenomena, including segmentation and chunking; morpho-
  syntactic, 
  syntactic, and discourse analysis; semantic annotation; entity 
  and event recognition; alignment of parallel translations;
  annotation of 
  dialogue, speech, gesture, and multi-modal data; etc. 

o Use of information from multiple linguistic levels and/or phenomena
to 
  enhance performance of automatic annotation software 

o Machine learning and other methods for enhancing automated knowledge 
  acquisition (e.g, information for lexicons, ontologies, etc.) 

o Evaluation and comparison of techniques to enhance the accuracy of 
  automatically-generated annotations, as well as discussion of
  limitations 

o Software systems for optimizing annotation accuracy, and methods and 
  systems for optimizing "on the fly" annotation of web and other
  language data 

o Identification and separation of annotation that cannot be 
  automated, to simplify annotation enhancement by human proofreaders 

o Identification and separation of applications that can tolerate
"noisy" analysis, 
  for which imperfect automated linguistic analysis would be
  appropriate 


DATES 
Paper submission :  March 8, 2006 
Author notification : April 7, 2006 
Workshop date : May 27, 2006 

SUBMISSION INFORMATION 
Papers should be no more than 8 pages in length and follow the format
for submissions to the 
main LREC conference. Papers should provide a thorough account of
methodology and evaluation 
of results. Submissions in pdf format should be sent to annotation-
science@cs.vassar.edu. 

CONTACT 
Please send inquiries to annotation-science@cs.vassar.edu. 


ORGANIZERS 
Nancy Ide 
Department of Computer Science 
Vassar College 
Poughkeepsie, New York 12604-0520 USA 
tel: (+1 845) 437 5988 
fax: (+1 845) 437 7498 
email: ide@cs.vassar.edu 

Eric Atwell 
School of Computing 
University of Leeds 
United Kingdom 
tel: +44 (0)113 3435430 
fax: +44 (0)113 3435468 
email: eric@comp.leeds.ac.uk 

PROGRAM COMMITTEE 
Eric Atwell, University of Leeds (UK) 
Nigel Collier, National Institute of Informatics (Japan) 
Atsushi Fujii, University of Tsukuba (Japan) 
Rebecca Hwa, University of Pittsburgh (USA) 
Nancy Ide, Vassar College (USA) 
David Lewis, David D. Lewis Consulting USA) 
Miles Osborne, University of Edinburgh (UK) 
Anoop Sarkar, Simon Fraser University (CA) 
Mark Steedman, University of Edinburgh (UK) 
Takenobu Tokunaga, Tokyo Institute of Technology (Japan) 
Kiyotaka Uchimoto, National Institute of Information and
Communications Technology (Japan)