LINGUIST List 15.695

Wed Feb 25 2004

Calls: Computational Ling/Journal; Computational Ling

Editor for this issue: Andrea Berez <andrealinguistlist.org>


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Directory

  • Rada Mihalcea, Journal of Natural Language Engineering: Special Issue on Parallel Texts
  • paulb, Ontology Learning and Population: Towards Evaluation of Text-based Methods in the Semantic Web and Knowledge Discovery Life Cycle

    Message 1: Journal of Natural Language Engineering: Special Issue on Parallel Texts

    Date: Tue, 24 Feb 2004 03:19:15 -0600 (CST)
    From: Rada Mihalcea <radacs.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    We are expecting full papers to describe original, previously unpublished research, addressing issues related to the construction and use of parallel texts.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: texlinecup.cam.ac.uk.

    Send your submission (a PostScript or PDF file), prepared for anonymous review, to both: Rada Mihalcea, University of North Texas, radacs.unt.edu and Michel Simard, Xerox Research Centre Europe, Michel.Simardxrce.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: Ontology Learning and Population: Towards Evaluation of Text-based Methods in the Semantic Web and Knowledge Discovery Life Cycle

    Date: Wed, 25 Feb 2004 05:53:35 -0500 (EST)
    From: paulb <paulbdfki.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: paulbdfki.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) paulbdfki.de Siegfried Handschuh (AIFB) shaaifb.uni-karlsruhe.de Bernardo Magnini (IRST) magniniitc.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: paulbdfki.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