[Corpora-List] CFP: NLE Special Issue on Edu Applications

[Burstein, Jill]

C A L L   F O R   P A P E R S

Journal of Natural Language Engineering

SPECIAL ISSUE ON EDUCATIONAL APPLICATIONS

Guest Editors:



  Jill Burstein and Claudia Leacock



  Educational Testing Service



  Princeton, New Jersey



    OBJECTIVE OF THIS SPECIAL ISSUE

Educational applications that make use of natural language processing
methods are deployed for both large-scale assessment and classroom
instruction. These applications include automated scoring of essays and
short-answer responses, and qualitative feedback for essays --
evaluation of grammar, usage, mechanics, style, and high-level discourse
analysis. It is critical that we continue to show progress not only with
regard to the amount of feedback that an application can provide, but
also with regard to the level of sophistication of the feedback.
Additionally, there needs to be meaningful links between the feedback
related to students' writing quality and the corresponding instruction.
This special issue is devoted to advances in capabilities that evaluate
and provide feedback related student writing. We are especially
interested in submissions including, but not limited to:

-       Speech-based tools for educational technology

-        Innovative text analysis for evaluation of student writing with
regard to: a) general writing quality, or b) accuracy of content for
domain-specific responses

-        Text analysis methods to handle particular writing genres, such
as legal or business writing, or creative aspects of writing

-         Intelligent tutoring systems that incorporate state-of-the-art
NLP methods to evaluate response content, using either text- or
speech-based analyses

-        Dialogue systems in education

-         understanding student input

-         generating the tutors' feedback

-         evaluation

-        Evaluation of NLP-based tools for education

-         Use of student response databases (text or speech) for tool
building

-        Content-based scoring



While we invite submissions addressing any of the above topics, or
related issues, we particularly welcome submissions that describe
deployed applications. Further, since most of the deployed work in
NLP-based educational applications is text-based, we are especially
interested in any work of this type that incorporates speech processing
and other input/output modalities.

SUBMISSION FORMAT

We are expecting full papers to describe original, previously
unpublished research, addressing issues related to the use of natural
language processing methods for the development of educational
technology applications.

Papers should be formatted according to the NLE journal instructions,
and should not exceed 15 pages. The preferred formatting system is
LaTeX, which can be used for direct typesetting, and a style file is
available through anonymous ftp from the following  address:

ftp.cup.cam.ac.uk/pub/texarchive/journals/latex/nle-sty/.

In case of difficulty there is a helpline available on e-mail:

texline at cup.cam.ac.uk.

Send your submission (a PostScript or PDF file), prepared for anonymous
review, to both: Jill Burstein  and Claudia Leacock, Educational Testing
Service, {jburstein,cleacock}@ets.org.

IMPORTANT DATES

Paper submissions:                May 1, 2005

Notification of acceptance:       August 30, 2005

Final versions due:               November 30, 2005

Journal publication:              June 2006

Confirmed Program Committee:

Chris Bowerman, University of Sunderland, UK

Martin Chodorow, Hunter College, City University of New York, USA

Paul Deane, Educational Testing Service, USA

Barbara Di Eugenio, University of Illinois at Chicago, USA

Derrick Higgins, Educational Testing Service

Felisa Verdejo, UNED, Spain

Pamela Jordon, University of Pittsburgh, USA

Karen Kukich, National Science Foundation, USA

Thomas Landauer, University of Colorado and Knowledge Analysis
Technologies, USA

Diane Litman, University of Pittsburgh, USA

Daniel Marcu, Information Sciences Institute/University of Southern
California, USA

Ruslan Mitkov, University of Wolverhampton, UK

Johanna Moore, University of Edinburgh, UK

Thomas Morton, Educational Testing Service, USA

Carolyn Penstein Rose, University of Pittsburgh, USA

Donia Scott, University of Brighton, UK

Susanne Wolff, Princeton University, USA

ABOUT THE JOURNAL

Natural Language Engineering is an international journal designed to
meet the needs of professionals and researchers working in all areas of
computerized language processing, whether from the perspective of
theoretical or descriptive linguistics, lexicology, computer science or
engineering. Its principal aim is to bridge the gap between traditional
computational linguistics research and the implementation of practical
applications with potential real-world use. As well as publishing
research articles on a broad range of topics from text analysis, machine
translation and speech generation and synthesis to integrated systems
and multi modal interfaces the journal also publishes book reviews. Its
aim is to provide the essential link between industry and the academic
community.

Natural Language Engineering encourages papers reporting research with a
clear potential for practical application. Theoretical papers that
consider techniques in sufficient detail to provide for practical
implementation are also welcomed, as are shorter reports of on-going
research, conference  reports, comparative discussions of NLE products,
and policy-oriented papers examining e.g. funding programs or market
opportunities. All contributions are peer reviewed.

Edited by John I. Tait
University of Sunderland, UK

Branimir K. Boguraev
IBM Thomas J. Watson Research Center, New York, USA

Christian Jacquemin
CNRS-LIMSI, France




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