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)
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