16.1049, Calls: Comp Ling/USA; Comp Ling/Psycholing/USA

Tue Apr 5 18:38:52 UTC 2005

LINGUIST List: Vol-16-1049. Tue Apr 05 2005. ISSN: 1068 - 4875.

Subject: 16.1049, Calls: Comp Ling/USA; Comp Ling/Psycholing/USA

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1)
Date: 03-Apr-2005
From: Timothy Baldwin < tim at csse.unimelb.edu.au >
Subject: ACL 2005 Workshop on Deep Lexical Acquisition

2)
Date: 03-Apr-2005
From: Aris Xanthos < Aris.Xanthos at unil.ch >
Subject: ACL-05 Workshop on Psychocomputational Models of Human Language Acquisition

-------------------------Message 1 ----------------------------------
Date: Tue, 05 Apr 2005 14:28:59
From: Timothy Baldwin < tim at csse.unimelb.edu.au >
Subject: ACL 2005 Workshop on Deep Lexical Acquisition

Fund Drive 2005 is now on! Visit http://linguistlist.org/donate.html to donate now!

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: alk23 at cl.cam.ac.uk
Web Site: http://www.cs.mu.oz.au/~tim/events/acl2005/

Linguistic Field(s): Computational Linguistics

Call Deadline: 11-Apr-2005

Meeting Description:

2ND 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: 11 April, 2005

*** NOTE REVISED SUBMISSION DETAILS ***

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: 11 April, 2005

    Notification date: 2 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, 05 Apr 2005 14:29:10
From: Aris Xanthos < Aris.Xanthos at unil.ch >
Subject: ACL-05 Workshop on Psychocomputational Models of Human Language Acquisition

Full Title: ACL-05 Workshop on Psychocomputational Models of Human Language
Acquisition
Short Title: Psychocomp

Date: 29-Jun-2005 - 30-Jun-2005
Location: University of Michigan - Ann Arbor, MI, United States of America
Contact Person: Aris Xanthos
Meeting Email: psycho.comp at hunter.cuny.edu
Web Site: http://www.colag.cs.hunter.cuny.edu/psychocomp

Linguistic Field(s): Computational Linguistics; Language Acquisition;
Psycholinguistics

Call Deadline: 11-Apr-2005

Meeting Description:

Final Call for Papers

Extended Deadline: 11 April

Psychocomputational Models of Human Language Acquisition
Workshop at ACL 2005
29-30 June 2005 at University of Michigan Ann Arbor
http://www.colag.cs.hunter.cuny.edu/psychocomp

Workshop Topic

The workshop, which is a follow-up to the successful workshop held at COLING in
2004, will be devoted to psychologically motivated computational models of
language acquisition -- models that are compatible with, or motivated by
research in psycholinguistics, developmental psychology with particular emphasis
on the acquisition of syntax, though work on the acquisition of morphology,
phonology and other levels of linguistic description is also welcome.

The workshop will be taking place at the same time as CoNLL-2005
(http://cnts.uia.ac.be/conll/cfp.html) and we expect there to be sufficient
interest for a plenary session of papers that are relevant to both audiences.
There will also be a plenary session for Mark Steedman's invited talk.

Invited Talks

  Mark Steedman, University of Edinburgh
  Brian MacWhinney, Carnegie Mellon University

Workshop Description and Motivation

In recent decades there has been a great deal of successful research that
applies computational learning techniques to emerging natural language
technologies, along with many meetings, conferences and workshops in which to
present such research. These have generally been motivated primarily by
engineering concerns. There have been only a few venues in which computational
models of human (first) language acquisition are the focus.

In the light of recent results in developmental psychology, indicating that very
young infants are capable of detecting statistical patterns in an audible input
stream, statistically motivated approaches have gained in plausibility. However,
this raises the question of whether or not a psychologically credible
statistical learning strategy can be successfully exploited in a full-blown
psychocomputational acquisition model, and the extent to which such algorithms
must use domain-specific knowledge.

The principal goal of the workshop is to bring together researchers who work
within computational linguistics, formal learning theory, grammatical inference,
machine learning, artificial intelligence, linguistics, psycholinguistics and
other fields, who have created or are investigating computational models of
language acquisition. In particular, it will provide a forum for establishing
links and common themes between diverse paradigms.  Although research which
directly addresses the acquisition of syntax is strongly encouraged, related
studies that inform research on the acquisition of other areas of language are
also welcome.

Papers are invited on, but not limited to, the following topics:

* Models that employ statistical/probabilistic grammars;
* Formal learning theoretic and grammar induction models that
  incorporate psychologically plausible constraints;
* Models that employ language models from corpus linguistics;
* Models that address the question of learning bias in terms of
  innate linguistic knowledge versus domain general strategies
* Models that can acquire natural language word-order;
* Hybrid models that cross established paradigms;
* Models that directly make use of or can be used to evaluate
  existing linguistic or developmental theories in a computational
  framework (e.g. the principles & parameters framework, Optimality
  Theory, or Construction Grammar);
* Models that combine parsing and learning;
* Models that have a cross-linguistic or bilingual perspective;
* Empirical models that make use of child-directed corpora;
* Comparative surveys, across multiple paradigms, that critique
  previously published studies;

Paper Length: Submissions should be no longer than 8 pages (A4 or the
equivalent). High-quality short papers or extended abstracts of 4 to 5 pages are
encouraged. Submission and format details are below.

Important Dates

Please note that the turnaround time for accepted papers is quite short.

Deadline for main session paper submission: April 11, 2005
Notification of acceptance: May 5, 2005
Deadline for camera-ready papers: May 17, 2005
Conference: June 29-30, 2005

Workshop Organizers

* William Gregory Sakas (Chair), City University of New York, USA
  (sakas at hunter.cuny.edu)
* Alexander Clark, Royal Holloway, University of London, UK
  (alexc at cs.rhul.ac.uk)
* James Cussens, University of York, UK (jc at cs.york.ac.uk)
* Aris Xanthos, University of Lausanne, Switzerland
  (aris.xanthos at unil.ch)

Program Committee

* Robert Berwick, MIT, USA
* Antal van den Bosch, Tilburg University, The Netherlands
* Ted Briscoe, University of Cambridge, UK
* Damir Cavar, Indiana University, USA
* Nick Chater, University of Warwick, UK
* Stephen Clark, University of Edinburgh, UK
* Walter Daelemans, University of Antwerp, Belgium and Tilburg
  University, The Netherlands
* Elan Dresher, University of Toronto, Canada
* Jeff Elman, University of California, San Diego, USA
* Jerry Feldman, University of California, Berkeley, USA
* John Goldsmith, University of Chicago, USA
* John Hale, University of Michigan, USA
* Mark Johnson, Brown University, USA
* Vincenzo Lombardo, Universita di Torino, Italy
* Paola Merlo, University of Geneva, Switzerland
* Sandeep Prasada, City University of New York, USA
* Dan Roth, University of Illinois at Urbana-Champaign, USA
* Jenny Saffran, University of Wisconsin, Madison, USA
* Ivan Sag, Stanford University, USA
* Ed Stabler, University of California, Los Angeles, USA
* Mark Steedman, University of Edinburgh, UK
* Suzanne Stevenson, University of Toronto, Canada
* Patrick Sturt, University of Glasgow, UK
* Charles Yang, Yale University, USA

Paper Submission

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 LaTeX style files or Microsoft Word Style files tailored for this year's
conference. They are available at http://www.aclweb.org/acl2005/styles/.
High-quality short papers or extended abstracts of 4 to 5 pages are encouraged.

Electronic Submission: All submissions will be by email. Reviews will be blind,
so be careful not to disclose authorship or affiliation. PDF submissions are
preferred and will be required for the final camera-ready copy.

Submissions should be sent as an attachment to:

  psycho.comp at hunter.cuny.edu.

  The subject line must contain the single word: Submission.

Please be sure to include accurate contact information in the body of the email.

Workshop contact:

email: psycho.comp at hunter.cuny.edu
web:  http://www.colag.cs.hunter.cuny.edu/psychocomp

or

William Gregory Sakas
Department of Computer Science, North 1008
Hunter College, City University of New York
695 Park Avenue
New York, NY 10021
USA

1 (212) 772.5211 - voice
1 (212) 772.5219 - fax

sakas at hunter.cuny.edu

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