15.695, Calls: Computational Ling/Journal; Computational Ling

[LINGUIST List]

LINGUIST List:  Vol-15-695. Wed Feb 25 2004. ISSN: 1068-4875.

Subject: 15.695, Calls: Computational Ling/Journal; Computational Ling

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1)
Date:  Tue, 24 Feb 2004 03:19:15 -0600 (CST)
From:  Rada Mihalcea <rada at cs.unt.edu>
Subject:  Journal of Natural Language Engineering: Special Issue on Parallel Texts

2)
Date:  Wed, 25 Feb 2004 05:53:35 -0500 (EST)
From:  paulb at dfki.de
Subject:  Ontology Learning and Population: Towards Evaluation of Text-based Methods in the Semantic Web and Knowledge Discovery Life Cycle

-------------------------------- Message 1 -------------------------------

Date:  Tue, 24 Feb 2004 03:19:15 -0600 (CST)
From:  Rada Mihalcea <rada at cs.unt.edu>
Subject:  Journal of Natural Language Engineering: Special Issue on Parallel Texts

SECOND CALL FOR PAPERS

Journal of Natural Language Engineering

Special Issue on PARALLEL TEXTS

Guest Editors:
Rada Mihalcea, University of North Texas
Michel Simard, Xerox Research Centre Europe

http://www.cs.unt.edu/~rada/jnle


OBJECTIVE OF THIS SPECIAL ISSUE

Parallel texts have become a vital resources for efficiently deriving
many multi-lingual text processing tools. This special issue is
devoted to advances in building and using parallel corpora. We invite
papers on all topics related to parallel texts, including but not
limited to:

The collection, organization and processing of parallel corpora:
   - Identifying and harvesting parallel texts from the Web
     and other large collections
   - Evaluating the quality of parallel corpora (e.g. detecting
     omissions and gaps, translation errors or inconsistencies, etc.)
   - Sentence-, phrase- and word-level alignment
   -  Alignment evaluation metrics and methods

Active uses of parallel corpora for:
   - Building multilingual lexical resources
   - Deriving language processing tools and resources for new
     languages
   - Annotating corpora (e.g. word-sense disambiguation)
   - Machine translation (e.g. statistical and example-based MT)
   - Machine-assisted translation (e.g. translation memories and
     interactive MT)
   - Cross-linguistic information retrieval and information extraction

While we invite submissions addressing any of the above topics, or
related issues, we particularly welcome work involving parallel
corpora addressing languages with scarce resources.

SUBMISSION FORMAT

We are expecting full papers to describe original, previously
unpublished research, addressing issues related to the construction
and use of parallel texts.

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: Rada Mihalcea, University of North Texas,
rada at cs.unt.edu and Michel Simard, Xerox Research Centre Europe,
Michel.Simard at xrce.xerox.com


IMPORTANT DATES

Paper submissions:		May 1, 2004
Notification of acceptance:	August 30, 2004
Final versions due:		November 30, 2004
Journal publication:		June, 2005


PROGRAM COMMITTEE

Lars Ahrenberg, Linkoping University
Susan Armstrong, ISSCO
Michael Barlow, Rice University
Ken Church, AT&T Labs Research
Ido Dagan, Bar-Ilan University
Jason Eisner, Johns Hopkins University
George Foster, University of Montreal
Pascale Fung, University of Science and Technology, Hong Kong
Eric Gaussier, Xerox Research Centre Europe
Ulrich Germann, University of Toronto
Daniel Gildea, University of Rochester
Julio Gonzalo, UNED
Cyril Goutte, Xerox Research Centre Europe
Gregory Grefenstette, Clairvoyance Corporation
Eduard Hovy, University of Southern California / Information Sciences
Institute
Pierre Isabelle, Xerox Research Centre Europe
Hitoshi Iida, Tokyo University of Technology
Wessel Kraaij, TNO/TPD Netherlands
Philippe Langlais, University of Montreal
Elliot Macklovitch, University of Montreal
Dan Melamed, New York University
Ruslan Mitkov, University of Wolverhampton
Hermann Ney, RWTH Aachen
Franz Och, Information Sciences Institute
Kemal Oflazer, Sabanci University
Kishore Papineni, IBM
Ted Pedersen, University of Minnesota, Duluth
Jessie Pinkham, University of Chicago
Andrei Popescu-Belis, ISSCO/TIM/ETI University of Geneva
Florence Reeder, MITRE
Philip Resnik, University of Maryland
Harold Somers, University of Manchester Institute of Science and
Technology
Hideki Tanaka, ATR Spoken Language Translation Research Laboratories
Arturo Trujillo, Canon Research Centre Europe
Jean Veronis, University of Provence
Clare Voss, Army Research Lab
Yorick Wilks, University of Sheffield
Dekai Wu, University of Science and Technology, Hong Kong
Kenji Yamada, Xerox Research Centre Europe


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



-------------------------------- Message 2 -------------------------------

Date:  Wed, 25 Feb 2004 05:53:35 -0500 (EST)
From:  paulb at dfki.de
Subject:  Ontology Learning and Population: Towards Evaluation of Text-based Methods in the Semantic Web and Knowledge Discovery Life Cycle

Ontology Learning and Population: Towards Evaluation of Text-based
Methods in the Semantic Web and Knowledge Discovery Life Cycle

Date: 22-Aug-2004 - 23-Aug-2004
Location: Valencia, Spain
Contact: Paul Buitelaar
Contact Email: paulb at dfki.de
Meeting URL: http://olp.dfki.de/ecai04/cfp.htm

Linguistic Sub-field: Computational Linguistics ,Semantics

Call Deadline: 15-Apr-2004


Meeting Description:

Automatic methods for text-based ontology learning and population have
developed over recent years (e.g. results from the ECAI-2000,
IJCAI-2001, ECAI-2002 workshops on Ontology Learning and the
KCAP-2001, ECAI-2002, KCAP-2003 workshops on Knowledge Markup /
Ontology Population), but a remaining challenge is to evaluate in a
quantitative manner how useful or accurate the extracted ontology
classes, properties and instances are. In fact, this is a central
issue as it is currently very hard to compare methods and approaches,
due to the lack of a shared understanding of the task at hand. The
core theme of the workshop therefore will be to develop such a shared
understanding through the definition of a clear task (and
corresponding sub-tasks), identify resources needed for the
task/sub-tasks and to discuss how best to develop an open source
evaluation platform. Call for Papers

ECAI-2004 Workshop on Ontology Learning and Population: Towards
Evaluation of Text-based Methods in the Semantic Web and Knowledge
Discovery Life Cycle

16th European Conference on Artificial Intelligence
August 22nd/23rd 2004
Valencia, Spain

http://olp.dfki.de/ecai04/cfp.htm

With Support From: KnowledgeWeb (http://knowledgeweb.semanticweb.org/)

Topic and Motivation
Ontologies are formal, explicit specifications of shared
conceptualizations, representing concepts and their relations that are
relevant for a given domain of discourse. Currently, ontologies are
mostly developed (including ontology construction, extension, mapping
and merging) as well as used (ontology population through knowledge
markup) by a manual process, which is very ineffective and may cause
major barriers to their large-scale use in such areas as Knowledge
Discovery and Semantic Web. The expected central role of ontologies in
the organization and functioning of the Semantic Web has been well
documented in recent years. Somewhat less traditional is the role of
ontologies in incremental approaches to Knowledge Discovery, in which
ontologies and machine learning methods are used in combination to
mine, interpret and (re-)organize knowledge.

As human language is a primary mode of knowledge transfer, linguistic
analysis of relevant documents for ontology learning and population
seems a viable option. More precisely, automation of these tasks can
be implemented by a combined use of linguistic analysis and machine
learning approaches for text mining. The workshop will therefore be
concerned with reports on the development of such methods, but
specifically also with the quantitative evaluation of these methods.

Automatic methods for text-based ontology learning and population have
developed over recent years (e.g. results from the ECAI-2000,
IJCAI-2001, ECAI-2002 workshops on Ontology Learning and the
KCAP-2001, ECAI-2002, KCAP-2003 workshops on Knowledge Markup /
Ontology Population), but a remaining challenge is to evaluate in a
quantitative manner how useful or accurate the extracted ontology
classes, properties and instances are. In fact, this is a central
issue as it is currently very hard to compare methods and approaches,
due to the lack of a shared understanding of the task at hand. The
core theme of the workshop therefore will be to develop such a shared
understanding through the definition of a clear task (and
corresponding sub-tasks), identify resources needed for the
task/sub-tasks and to discuss how best to develop an open source
evaluation platform.

Areas of Interest
Submissions are invited on these topics in Ontology Learning and
Population (OLP):

*  Evaluation Methodologies and Metrics for OLP
   - Including Experience and Best Practice from Related Evaluation
     Efforts in the Context of CLEF, TREC, SENSEVAL, etc.
*  Datasets and Resources for the Evaluation of OLP
*  Definition of Sub-Tasks for OLP
   - Extraction of Taxonomy, Class-hierarchy
   - Extraction of Class-properties, Relations
   - Extraction of Class-instances, Individuals
*  Definition of Related Tasks
   - Ontology Extension, Evolution
   - Ontology Mapping
   - Ontology Merging
*  Text-based Approaches for OLP, for instance (Combinations of):
   - NLP and Linguistic Analysis for OLP
   - (NLP-based) Text-mining for OLP
   - (Ontology-aware) Information Extraction for OLP
*  OLP in the Context of the Semantic Web
*  OLP in the Context of Knowledge Discovery

Workshop Schedule
This will be a one-day workshop with a proposed schedule of 2 or 3
paper sessions and a poster session. The workshop will include a
round-table working session on the topic of evaluation of ontology
learning and population. It is expected that the outcome of this
discussion will lead to a written report on guidelines for setting up
an evaluation platform for these tasks.

Organizing Committee
Paul Buitelaar  (DFKI) paulb at dfki.de
Siegfried Handschuh (AIFB) sha at aifb.uni-karlsruhe.de
Bernardo Magnini (IRST) magnini at itc.it

Program Committee
AIFB - Siegfried Handschuh, Steffen Staab, York Sure
Bar Ilan University - Ido Dagan
Bosch - Alexander Maedche (tbc)
DFKI - Paul Buitelaar, Andreas Eisele, Michael Sintek
IRIT, Toulouse - Nathalie Aussenac-Gilles
IRST - Bernardo Magnini
Josef Stefan Inst. - Marko Grobelnik
KDLabs - Jörg-Uwe Kietz
LOA-CNR - Aldo Gangemi
MIG-INRA  - Claire Nedellec
NCSR Demokritos - Georgios Paliouras
NLM-NIH - Vipul Kashyap
Univ. Antwerpen - Walter Daelemans
Univ. Basque Country - Eneko Agirre
Univ. Paris 13, LIPN - Adeline Nazarenko
Univ. Poly. Madrid - Asuncion Gomez-Perez
Univ. Roma La Sapienza - Paola Velardi
Univ. Roma Tor Vergata - Roberto Basili
Univ. Saarland - Thierry Declerck
Univ. Sheffield - Fabio Ciravegna, Hamish Cunningham, Yorick Wilks
USC/ISI - Eduard Hovy
XRCE - Eric Gaussier

Submissions
Submissions (in PS or PDF format) should be in English and no longer
than 6 pages, following the formatting style for
ECAI-2004. Submissions should be sent by email to the contact person:
paulb at dfki.de

April 15th - Paper submission deadline
May 15th  -  Notification of acceptance/rejection
June 15th  -  Camera-ready papers
August 22nd/23rd  -  Workshop

Workshop Attendance and Registration
All workshop participants must register for ECAI-2004

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