LINGUIST List 11.2578

Wed Nov 29 2000

Calls: Semantic Lexicons/NLP, Semantics/Categorisation

Editor for this issue: Jody Huellmantel <jodylinguistlist.org>

Directory

1. Pierrette Bouillon, Semantic Lexicons for Natural Language Processing
2. Alessandro Lenci, Semantic Knowledge Acquisition and Categorisation - ESSLLI 2001

- 
Please note the new address !!!
Pierrette Bouillon | E-mail:
Pierrette.Bouillonissco.unige.ch
University of Geneva | WWW: http://issco-www.unige.ch/
TIM/ISSCO | Tel: +41/22/705 86 79
40, bvd du Pont-d'Arve | Fax: +41/22/705 86 89
CH-1211 Geneva 4 (Switzerland) |


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Call for papers
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SEMANTIC LEXICONS IN NATURAL LANGUAGE PROCESSING

Special issue of the French journal TAL edited by:
Pierrette Bouillon (TIM/ISSCO, Gen�ve) and Evelyne Viegas (Microsoft,
Seattle)

Submission deadline: April 1, 2001

http://www.atala.org/tal/appel-semlex.html
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SCOPE

None would argue about the importance of semantic lexicons for Natural
Language Processing applications such as machine translation,
automatic indexing, information extraction, text generation,
etc. However, there is no agreement on the type of information to use,
how to represent it or how to acquire it automatically.

This special issue directly addresses this difficult topic by investigating
how lexical semantic theories relate to applications in NLP. We will
emphasize the following questions: 
- Which theory for which application?
- How to acquire information automatically?
- How to use it in applications?

TOPICS (NOT LIMITATIVE)

- Acquisition of semantic lexicons
- Lexical semantics in NLP applications
- Generic versus specific resources?
- Which lexical semantic theory for which application?
- Types of lexical information
- Exploitation of existing lexical data

FORMAT AND SUBMISSIONS

Authors are strongly encouraged to use LaTeX2e and the HERMES style
files <http://www.editions-hermes.fr/ rubrique Auteurs>. Submissions
(30 pages maximum, double spaced, Helvetica 12) must be sent
electronically to Pierrette Bouillon
(<pierrette.bouillonissco.unige.ch>) and Evelyne Viegas
(<evelynevmicrosoft.com>).

LANGUAGE

Articles can be written in French or in English, but English will only
be accepted from non-French speaking authors.

JOURNAL T.A.L. http://www.atala.org/tal/
 
The international journal Traitement Automatique des Langues (TAL) has
been published since 1969 by the French Association pour le Traitement
Automatique des Langues (ATALA) with the support of the Centre
National pour la Recherche Scientifique (CNRS). The journal TAL covers
all fields of computational linguistics and its aim is to provide
mainly (but not only) French speaking researchers and students with
publications in all domains of computational linguistics. It appears
three times a year and is distributed by HERMES.

T.A.L. EDITORIAL BOARD 

Pierrette Bouillon (TIM/ISSCO, Gen�ve)
Philippe Blache (CNRS, Aix-en-Provence) -- Chief Editor 
Dani�le Cl�ment (Bergische Universit�t Wuppertal) 
Christophe d'Alessandro (LIMSI-CNRS, Orsay) -- Chief Editor 
Anne Condamines (CNRS, Toulouse le Mirail) 
Claire Gardent (Universit�t des Saarlandes) -- Chief Editor
Marc El-B�ze (Universit� d'Avignon) 
Jean-Louis Lebrave (CNRS, Paris) 
Piet Mertens (Katholieke Universiteit Leuven)
�velyne Tzoukermann (Bell Labs)
Bernard Victorri (ENS, Paris)
Pierre Zweigenbaum (AP-HP, Paris 6)

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************************* CALL FOR PAPERS ******************************

SEMANTIC KNOWLEDGE ACQUISITION AND CATEGORISATION

Workshop at ESSLLI XIII (Helsinki)

Helsinki, August 13th - 17th 2001

http://www.ilc.pi.cnr.it/~esslli

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The sheer amount of knowledge necessary to shed light on the way word
meanings mutually relate in context or distribute in lexico-semantic
classes appears to exceed the limits of human conscious awareness and
descriptive capability. Particularly at this level of linguistic
analysis, then, we seem to be in need of automatic ways of filtering,
structuring and classifying semantic evidence through inspection of a
large number of word uses in context. Totally or partially unsupervised
inductive methods of knowledge acquisition from corpus data are credited
with being able to provide such ways. Yet, it remains to be seen how
acquired information can best be represented in current formal models
for knowledge representation, for it to be made available to mainstream
NLP applications.

There are reasons to believe that this integration will require much
more than a simple extension of off-the-shelf machine learning
technology. At the same time, any major breakthrough in this area is
bound to have significant repercussions on the way word meanings and
lexico-semantic classes in general are formally represented and used for
applications. With these purposes in mind, the workshop intends to focus
on the issue of interaction between techniques for inducing semantic
information from corpus data and formal methods of linguistic knowledge
representation. In particular, we encourage in-depth analysis of
underlying assumptions of the proposed techniques and methods and
discussion of possible relevant connections with cognitive,
linguistic,logical and philosophical issues.


TOPICS OF INTEREST

Possible themes for contributions are:

- development of 'data-driven' semantic type systems
- dynamic update and tuning of formal ontologies with text data
- 'hybrid models' of knowledge extraction, whereby machine learning
 methods are integrated with formal structures of knowledge representation
- creation of dynamic lexical knowledge-bases
- formal representation and structuring of the flow of information
 extracted from texts.


WORKSHOP ORGANISATION

The workshop will be held on five subsequent days, August 13th-17th
2001. It will take place during the ESSLLI-Summer School in Helsinki,
and will be open to all members of the LLI-community, computational
linguistics and cognitive science as well. Each session will consist of
two talks plus discussion (30mins + 15mins each).
The workshop language will be English.

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GUIDELINES FOR SUBMISSIONS

The organizers welcome contributions from different fields of
computational
linguistics, logic and cognitive science.

1. Submissions will consist of full papers reporting on original,
 unpublished works. Papers should not exceed 5000 words
 (including references), must contain a 5-10 lines abstract, and must
 be submitted in postscript format

2. The reviewing of papers will be blind. Hence the paper
 should not include the authors' names and affiliations.
 Furthermore, self-references that reveal the author's identity
 should be avoided.

3. Identification information will be put in a separate file
 consisting of:
 Title of the paper:
 Author(s):
 Affiliation(s):
 E-mail(s):
 Abstract:

4. Submitted papers and identification information must be sent
 to the following address by MARCH 15th 2001:

 esslli2001ilc.pi.cnr.it

Accepted papers will be notified by APRIL 30th, together with the
comments of the reviewers.

The final version of the papers will be prepared in LaTeX by MAY 31st,
for publication in the Workshop proceedings. The stylesheet will be
circulated in due time.

Note that all workshop participants must register as participants
of ESSLLI. The early registration fees apply to authors of accepted
papers.

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IMPORTANT DATES

March 15th 2001 - Deadline for submitting papers
April 30th 2001 - Notification of acceptance
May 31st 2001 - Preparation of the final version of the paper
June 15th 2001 - Final program of the workshop
August 13th 2001 - The workshop begins
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PROGRAM COMMITEE

Ted Briscoe (Cambridge University, Cambridge, United Kingdom)
Nicoletta Calzolari (Istituto di Linguistica Computazionale, CNR, Pisa,
Italy)
Christiane Fellbaum (Princeton University, Princeton, USA)
Ed Hovy (USC, Marina del Rey CA, USA)
Dekang Lin (University of Alberta, Edmonton, Canada)
Antonio Sanfilippo (LingoMotors Inc., Cambridge MA, USA)
Piek Vossen (SAILLABS, Antwerpen, The Netherlands)


ORGANISING COMMITEE

Alessandro Lenci
Simonetta Montemagni
Vito Pirrelli

Istituto di Linguistica Computazionale (ILC) - CNR
Area della Ricerca CNR
Via Alfieri 1 (San Cataldo)
I-56010 PISA
Italy


CONTACT ADDRESS

esslli2001ilc.pi.cnr.it

WEB: http://www.ilc.pi.cnr.it/~esslli

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