16.1166, Calls: Computational Ling/USA; General Ling/Russia

LINGUIST List linguist at linguistlist.org
Tue Apr 12 18:41:50 UTC 2005


LINGUIST List: Vol-16-1166. Tue Apr 12 2005. ISSN: 1068 - 4875.

Subject: 16.1166, Calls: Computational Ling/USA; General Ling/Russia

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            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>

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        Terry Langendoen, U of Arizona

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===========================Directory==============================

1)
Date: 11-Apr-2005
From: Aline Villavicencio < avill at essex.ac.uk >
Subject: ACL 2005 Workshop on Deep Lexical Acquisition

2)
Date: 10-Apr-2005
From: Nadezhda Zabelina < nadz at bk.ru >
Subject: Language Study and Theory of Translation: Challenges for Today and Tomorrow

	
-------------------------Message 1 ----------------------------------
Date: Tue, 12 Apr 2005 14:30:14
From: Aline Villavicencio < avill at essex.ac.uk >
Subject: ACL 2005 Workshop on Deep Lexical Acquisition


Full Title: ACL 2005 Workshop on Deep Lexical Acquisition

Date: 30-Jun-2005 - 30-Jun-2005
Location: Ann Arbor, Michigan, United States of America
Contact Person: Anna Korhonen
Meeting Email: dla-acl2005 at unimelb.edu.au
Web Site: http://www.cs.mu.oz.au/~tim/events/acl2005/

Linguistic Field(s): Computational Linguistics

Call Deadline: 18-Apr-2005

Meeting Description:

3rd CALL FOR PAPERS

ACL 2005 WORKSHOP ON DEEP LEXICAL ACQUISITION
Sponsored by the ACL Special Interest Group on the Lexicon (SIGLEX)
30 June, 2005
Ann Arbor, USA

http://www.cs.mu.oz.au/~tim/events/acl2005/

*** Submission deadline extended to 18 April, 2005 ***

WORKSHOP DESCRIPTION

In natural language processing (NLP), there is a pressing need to develop deep
lexical resources (e.g. lexicons for linguistically-precise grammars,template
sets for information extraction systems, ontologies for word sense
disambiguation). Such resources are critical for enhancing the performance of
systems and for improving their portability between domains. For example, to
perform reliably, an information extraction system needs access to  high-quality
lexicons or templates specific to the task at hand.

Most deep lexical resources have been developed manually by lexicographers.
Manual work is costly and the resulting resources have limited coverage, and
require labour-intensive porting to new tasks. Automatic lexical acquisition is
a more promising and cost-effective approach to take, and is increasingly viable
given recent advances in NLP and machine learning technology, and corpus
availability.

While advances have recently been made in some areas of automatic deep lexical
acquisition, a number of important challenges need addressing before benefits
can be reaped in practical language engineering:

 * Acquisition of deep lexical information from corpora

While corpus data has been successfully applied in learning certain types of
deep lexical information (e.g. semantic relations, subcategorization,
selectional preferences), there remain a broad range of lexical relations that
corpus-based techniques have yet to be applied to.

 * Accurate, large-scale, portable acquisition techniques

One of the biggest current research challenges is how to improve the accuracy of
existing acquisition techniques further, at the same time as improving both
scalability and robustness.

 * Use of deep lexical acquisition in recognised applications

Although lexical acquisition has the potential to boost performance in many NLP
application tasks, this has yet to be demonstrated for many important applications.

 * Multilingual deep lexical acquisition

For theoretical and practical reasons it is important to test whether techniques
developed for one language (typically English) can be used to benefit research
on other languages.

TARGET AUDIENCE

The workshop will be of interest to anyone interested in automatically acquired
deep lexical information, e.g. in the areas of computational grammars,
computational lexicography, machine translation, information retrieval,
question-answering, and text mining.

Areas of Interest

 * Automatic acquisition of deep lexical information:
   o subcategorization
   o diathesis alternations
   o selectional preferences
   o lexical / semantic classes
   o qualia structure
   o lexical ontologies
   o semantic roles
   o word senses
     etc.

 * Methods for supervised, unsupervised and weakly supervised deep lexical
acquisition (machine learning, statistical, example- or rule-based, hybrid etc.)

 * Large-scale, cross-domain, domain-specific and portable deep lexical acquisition

 * Extending and refining existing lexical resources with automatically acquired
information

 * Evaluation of deep lexical acquisition

 * Application of deep lexical acquisition to NLP applications (e.g. machine
translation, information extraction, language generation, question-answering)

 * Multilingual deep lexical acquisition

IMPORTANT DATES

    Paper submission deadline: 18 April, 2005 *** Extended deadline ***

    Notification date: 9 May, 2005

    Camera-ready submission deadline: 16 May, 2005

    Workshop date: 30 June, 2005

SUBMISSION DETAILS

Requirements

Papers should describe original work; they should emphasize completed work
rather than intended work, and should indicate clearly the state of completion
of the reported results. Wherever appropriate, concrete evaluation results
should be included. Submissions will be judged on correctness, originality,
technical strength, significance and relevance to the conference, and interest
to the attendees.

A paper accepted for presentation at the workshop, cannot be presented or have
been presented at any other meeting with publicly available published
proceedings. Papers that are being submitted to other conferences or workshops
must indicate this on the title page, as must papers that contain significant
overlap with previously published work.

Reviewing

The reviewing of the papers will be blind. Each submission will be reviewed by
at least three programme committee members.

Submission Information

Submissions should follow the two-column format of ACL proceedings and should
not exceed eight (8) pages, including references. We strongly recommend the use
of ACL-05 LaTeX style files or Microsoft Word Style files. They are available at
http://www.aclweb.org/acl2005/styles/. A description of the format is also
available in case you are unable to use these style files directly. Papers must
conform to the official ACL-05 style guidelines, and we reserve the right to
reject submissions that do not conform to these styles including font size
restrictions.

As reviewing will be blind, the paper should not include the authors' names and
affiliations. Furthermore, self-references that reveal the author's identity,
e.g., ''We previously showed (Smith, 1991) ...'', should be avoided. Instead,
use citations such as ''Smith previously showed (Smith, 1991)  ...''. Papers
that do not conform to these requirements will be rejected without review.

*** REVISED SUBMISSION INFORMATION ***

Papers should be submitted electronically in PDF format via the START Conference
Manager at:

    http://www.softconf.com/start/ACL05_DLA/

The contact author of the paper will receive an auto-generated notification of
receipt via email.

Address any queries regarding the submission process to:

    dla-acl2005 at unimelb.edu.au

ORGANISING COMMITTEE

 Timothy Baldwin
 University of Melbourne, Australia

 Anna Korhonen
 University of Cambridge, UK
 NII, Japan

 Aline Villavicencio
 University of Essex, UK

PROGRAMME COMMITTEE

 Collin Baker (University of California Berkeley, USA)
 Roberto Basili (University of Rome Tor Vergata, Italy)
 Francis Bond (NTT, Japan)
 Chris Brew (Ohio State University, USA)
 Ted Briscoe (University of Cambridge, UK)
 John Carroll (University of Sussex, UK)
 Stephen Clark (University of Oxford, UK)
 Sonja Eisenbeiss (University of Essex, UK)
 Christiane Fellbaum (University of Princeton, USA)
 Frederick Fouvry (University of Saarland, Germany)
 Sadao Kurohashi (University of Tokyo, Japan)
 Diana McCarthy (University of Sussex, UK)
 Rada Mihalcea (University of North Texas, USA)
 Tom O'Hara (University of Maryland, Baltimore County, USA)
 Martha Palmer (University of Pennsylvania, USA)
 Massimo Poesio (University of Essex, UK)
 Philip Resnik (University of Maryland, USA)
 Patrick Saint-Dizier (IRIT-CNRS, France)
 Sabine Schulte im Walde (University of Saarland, Germany)
 Mark Steedman (University of Edinburgh, Scotland, UK)
 Mark Stevenson (University of Sheffield, UK)
 Suzanne Stevenson (University of Toronto, Canada)
 Dominic Widdows (MAYA Design, Inc., USA)
 Yorick Wilks (University of Sheffield, UK)
 Dekai Wu (Hong Kong University of Science and Technology)



	
-------------------------Message 2 ----------------------------------
Date: Tue, 12 Apr 2005 14:30:19
From: Nadezhda Zabelina < nadz at bk.ru >
Subject: Language Study and Theory of Translation: Challenges for Today and Tomorrow

	

Full Title: Language Study and Theory of Translation: Challenges for Today and
Tomorrow
Short Title: LSTT

Date: 13-Oct-2005 - 14-Oct-2005
Location: Kursk, Kursk Region, Russia
Contact Person: Elena Myagkova
Meeting Email: rosi at kursknet.ru

Linguistic Field(s): General Linguistics

Call Deadline: 20-Jun-2005

Meeting Description:

The focus of topics ranges from linguistic and psycholinguistic analysis of
language/speech to recent developments in methods of teaching translation and
interpreting. The discussions will cover the following themes:
- linguistic (system) approach to language analysis;
- psycholinguistics;
- theory of translation;
- recent developments in methods od teaching translation and interpreting.

Applicants should email a complete registration form and a paper (up to 5 pp.)
to rosi at kursknet.ru. Registration fee is 50 euro. Money should be paid on arrival.

Conference proceedings will be published in print format and will be available
on in-person participation or will be sent to a person if he/she fails to attend
the conference.
Paper format:
MS Word 7.0; 8.0 (97/98)
Times New Roman, 14 pt
Single spacing
Margins 2,5
Indention 0,7 cm
End notes
Author's name and initials in upper right-hand corner, small print
City, institution below the name, small print
Title: centered, block letters






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