Apologies for cross-postings
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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:
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)
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